Overview

Dataset statistics

Number of variables147
Number of observations35040
Missing cells1080121
Missing cells (%)21.0%
Total size in memory39.3 MiB
Average record size in memory1.1 KiB

Variable types

Numeric128
Unsupported19

Alerts

LW_IN_F_QC has constant value "2"Constant
P_F_QC has constant value "2"Constant
TS_F_MDS_1_QC has constant value "0"Constant
LW_IN_F_MDS has 35040 (100.0%) missing valuesMissing
LW_IN_F_MDS_QC has 35040 (100.0%) missing valuesMissing
PA has 1267 (3.6%) missing valuesMissing
P has 35040 (100.0%) missing valuesMissing
WS has 8593 (24.5%) missing valuesMissing
WD has 8593 (24.5%) missing valuesMissing
USTAR has 8593 (24.5%) missing valuesMissing
RH has 1047 (3.0%) missing valuesMissing
NETRAD has 1047 (3.0%) missing valuesMissing
PPFD_IN has 1047 (3.0%) missing valuesMissing
G_F_MDS has 35040 (100.0%) missing valuesMissing
G_F_MDS_QC has 35040 (100.0%) missing valuesMissing
LE_CORR has 35040 (100.0%) missing valuesMissing
LE_CORR_25 has 35040 (100.0%) missing valuesMissing
LE_CORR_75 has 35040 (100.0%) missing valuesMissing
LE_RANDUNC has 2380 (6.8%) missing valuesMissing
LE_RANDUNC_METHOD has 2380 (6.8%) missing valuesMissing
LE_RANDUNC_N has 2380 (6.8%) missing valuesMissing
LE_CORR_JOINTUNC has 35040 (100.0%) missing valuesMissing
H_CORR has 35040 (100.0%) missing valuesMissing
H_CORR_25 has 35040 (100.0%) missing valuesMissing
H_CORR_75 has 35040 (100.0%) missing valuesMissing
H_RANDUNC has 2942 (8.4%) missing valuesMissing
H_RANDUNC_METHOD has 2942 (8.4%) missing valuesMissing
H_RANDUNC_N has 2942 (8.4%) missing valuesMissing
H_CORR_JOINTUNC has 35040 (100.0%) missing valuesMissing
EBC_CF_N has 35040 (100.0%) missing valuesMissing
EBC_CF_METHOD has 35040 (100.0%) missing valuesMissing
NEE_VUT_REF_RANDUNC has 2238 (6.4%) missing valuesMissing
NEE_VUT_REF_RANDUNC_METHOD has 2238 (6.4%) missing valuesMissing
NEE_VUT_REF_RANDUNC_N has 2238 (6.4%) missing valuesMissing
NEE_VUT_REF_JOINTUNC has 2238 (6.4%) missing valuesMissing
NEE_VUT_USTAR50_RANDUNC has 2214 (6.3%) missing valuesMissing
NEE_VUT_USTAR50_RANDUNC_METHOD has 2214 (6.3%) missing valuesMissing
NEE_VUT_USTAR50_RANDUNC_N has 2214 (6.3%) missing valuesMissing
NEE_VUT_USTAR50_JOINTUNC has 2214 (6.3%) missing valuesMissing
RECO_NT_VUT_REF has 17520 (50.0%) missing valuesMissing
RECO_NT_VUT_USTAR50 has 35040 (100.0%) missing valuesMissing
RECO_NT_VUT_MEAN has 17520 (50.0%) missing valuesMissing
RECO_NT_VUT_SE has 17520 (50.0%) missing valuesMissing
RECO_NT_VUT_05 has 17520 (50.0%) missing valuesMissing
RECO_NT_VUT_16 has 17520 (50.0%) missing valuesMissing
RECO_NT_VUT_25 has 17520 (50.0%) missing valuesMissing
RECO_NT_VUT_50 has 17520 (50.0%) missing valuesMissing
RECO_NT_VUT_75 has 17520 (50.0%) missing valuesMissing
RECO_NT_VUT_84 has 17520 (50.0%) missing valuesMissing
RECO_NT_VUT_95 has 17520 (50.0%) missing valuesMissing
GPP_NT_VUT_REF has 17520 (50.0%) missing valuesMissing
GPP_NT_VUT_USTAR50 has 35040 (100.0%) missing valuesMissing
GPP_NT_VUT_MEAN has 17520 (50.0%) missing valuesMissing
GPP_NT_VUT_SE has 17520 (50.0%) missing valuesMissing
GPP_NT_VUT_05 has 17520 (50.0%) missing valuesMissing
GPP_NT_VUT_16 has 17520 (50.0%) missing valuesMissing
GPP_NT_VUT_25 has 17520 (50.0%) missing valuesMissing
GPP_NT_VUT_50 has 17520 (50.0%) missing valuesMissing
GPP_NT_VUT_75 has 17520 (50.0%) missing valuesMissing
GPP_NT_VUT_84 has 17520 (50.0%) missing valuesMissing
GPP_NT_VUT_95 has 17520 (50.0%) missing valuesMissing
RECO_SR has 35040 (100.0%) missing valuesMissing
RECO_SR_N has 35040 (100.0%) missing valuesMissing
TIMESTAMP_START has unique valuesUnique
TIMESTAMP_END has unique valuesUnique
LW_IN_F_MDS is an unsupported type, check if it needs cleaning or further analysisUnsupported
LW_IN_F_MDS_QC is an unsupported type, check if it needs cleaning or further analysisUnsupported
P is an unsupported type, check if it needs cleaning or further analysisUnsupported
G_F_MDS is an unsupported type, check if it needs cleaning or further analysisUnsupported
G_F_MDS_QC is an unsupported type, check if it needs cleaning or further analysisUnsupported
LE_CORR is an unsupported type, check if it needs cleaning or further analysisUnsupported
LE_CORR_25 is an unsupported type, check if it needs cleaning or further analysisUnsupported
LE_CORR_75 is an unsupported type, check if it needs cleaning or further analysisUnsupported
LE_CORR_JOINTUNC is an unsupported type, check if it needs cleaning or further analysisUnsupported
H_CORR is an unsupported type, check if it needs cleaning or further analysisUnsupported
H_CORR_25 is an unsupported type, check if it needs cleaning or further analysisUnsupported
H_CORR_75 is an unsupported type, check if it needs cleaning or further analysisUnsupported
H_CORR_JOINTUNC is an unsupported type, check if it needs cleaning or further analysisUnsupported
EBC_CF_N is an unsupported type, check if it needs cleaning or further analysisUnsupported
EBC_CF_METHOD is an unsupported type, check if it needs cleaning or further analysisUnsupported
RECO_NT_VUT_USTAR50 is an unsupported type, check if it needs cleaning or further analysisUnsupported
GPP_NT_VUT_USTAR50 is an unsupported type, check if it needs cleaning or further analysisUnsupported
RECO_SR is an unsupported type, check if it needs cleaning or further analysisUnsupported
RECO_SR_N is an unsupported type, check if it needs cleaning or further analysisUnsupported
TA_F_MDS_QC has 33993 (97.0%) zerosZeros
TA_F_QC has 33993 (97.0%) zerosZeros
SW_IN_POT has 16891 (48.2%) zerosZeros
SW_IN_F_MDS has 441 (1.3%) zerosZeros
SW_IN_F_MDS_QC has 33919 (96.8%) zerosZeros
SW_IN_ERA has 17516 (50.0%) zerosZeros
SW_IN_F has 669 (1.9%) zerosZeros
SW_IN_F_QC has 33919 (96.8%) zerosZeros
LW_IN_JSB_QC has 33829 (96.5%) zerosZeros
LW_IN_JSB_F_QC has 33829 (96.5%) zerosZeros
VPD_F_MDS has 12114 (34.6%) zerosZeros
VPD_F_MDS_QC has 33993 (97.0%) zerosZeros
VPD_ERA has 1257 (3.6%) zerosZeros
VPD_F has 12055 (34.4%) zerosZeros
VPD_F_QC has 33993 (97.0%) zerosZeros
PA_F_QC has 33773 (96.4%) zerosZeros
P_ERA has 12548 (35.8%) zerosZeros
P_F has 12548 (35.8%) zerosZeros
WS_F_QC has 26447 (75.5%) zerosZeros
PPFD_IN has 355 (1.0%) zerosZeros
CO2_F_MDS_QC has 26413 (75.4%) zerosZeros
TS_F_MDS_1_QC has 35040 (100.0%) zerosZeros
LE_F_MDS_QC has 12387 (35.4%) zerosZeros
H_F_MDS_QC has 13171 (37.6%) zerosZeros
NIGHT has 18149 (51.8%) zerosZeros
NEE_VUT_REF_QC has 8596 (24.5%) zerosZeros
NEE_VUT_USTAR50_QC has 8366 (23.9%) zerosZeros
NEE_VUT_MEAN_QC has 3679 (10.5%) zerosZeros
NEE_VUT_SE has 517 (1.5%) zerosZeros
NEE_VUT_05_QC has 7214 (20.6%) zerosZeros
NEE_VUT_16_QC has 7589 (21.7%) zerosZeros
NEE_VUT_25_QC has 8022 (22.9%) zerosZeros
NEE_VUT_50_QC has 8512 (24.3%) zerosZeros
NEE_VUT_75_QC has 7694 (22.0%) zerosZeros
NEE_VUT_84_QC has 7105 (20.3%) zerosZeros
NEE_VUT_95_QC has 6703 (19.1%) zerosZeros
GPP_DT_VUT_REF has 669 (1.9%) zerosZeros
GPP_DT_VUT_USTAR50 has 669 (1.9%) zerosZeros
GPP_DT_VUT_MEAN has 669 (1.9%) zerosZeros
GPP_DT_VUT_SE has 669 (1.9%) zerosZeros
GPP_DT_VUT_05 has 669 (1.9%) zerosZeros
GPP_DT_VUT_16 has 669 (1.9%) zerosZeros
GPP_DT_VUT_25 has 669 (1.9%) zerosZeros
GPP_DT_VUT_50 has 669 (1.9%) zerosZeros
GPP_DT_VUT_75 has 669 (1.9%) zerosZeros
GPP_DT_VUT_84 has 669 (1.9%) zerosZeros
GPP_DT_VUT_95 has 669 (1.9%) zerosZeros

Reproduction

Analysis started2023-08-29 19:16:00.114590
Analysis finished2023-08-29 19:16:03.301138
Duration3.19 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

TIMESTAMP_START
Real number (ℝ)

Distinct35040
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.018566844 Ă— 1011
Minimum2.0180101 Ă— 1011
Maximum2.019123123 Ă— 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:03.647505image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum2.0180101 Ă— 1011
5-th percentile2.018020612 Ă— 1011
Q12.018070212 Ă— 1011
median2.018566612 Ă— 1011
Q32.019070211 Ă— 1011
95-th percentile2.019112511 Ă— 1011
Maximum2.019123123 Ă— 1011
Range111302330
Interquartile range (IQR)99999965

Descriptive statistics

Standard deviation50119600.15
Coefficient of variation (CV)0.0002482929921
Kurtosis-1.981229481
Mean2.018566844 Ă— 1011
Median Absolute Deviation (MAD)50000000
Skewness-3.488474273 Ă— 10-6
Sum7.073058221 Ă— 1015
Variance2.511974319 Ă— 1015
MonotonicityStrictly increasing
2023-08-29T16:16:03.829552image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0180101 Ă— 10111
 
< 0.1%
2.019050217 Ă— 10111
 
< 0.1%
2.019050214 Ă— 10111
 
< 0.1%
2.019050214 Ă— 10111
 
< 0.1%
2.019050215 Ă— 10111
 
< 0.1%
2.019050215 Ă— 10111
 
< 0.1%
2.019050216 Ă— 10111
 
< 0.1%
2.019050216 Ă— 10111
 
< 0.1%
2.019050217 Ă— 10111
 
< 0.1%
2.019050314 Ă— 10111
 
< 0.1%
Other values (35030) 35030
> 99.9%
ValueCountFrequency (%)
2.0180101 Ă— 10111
< 0.1%
2.0180101 Ă— 10111
< 0.1%
2.018010101 Ă— 10111
< 0.1%
2.018010101 Ă— 10111
< 0.1%
2.018010102 Ă— 10111
< 0.1%
ValueCountFrequency (%)
2.019123123 Ă— 10111
< 0.1%
2.019123123 Ă— 10111
< 0.1%
2.019123122 Ă— 10111
< 0.1%
2.019123122 Ă— 10111
< 0.1%
2.019123121 Ă— 10111
< 0.1%

TIMESTAMP_END
Real number (ℝ)

Distinct35040
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.018566901 Ă— 1011
Minimum2.0180101 Ă— 1011
Maximum2.0200101 Ă— 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:04.016955image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum2.0180101 Ă— 1011
5-th percentile2.018020612 Ă— 1011
Q12.018070212 Ă— 1011
median2.0190101 Ă— 1011
Q32.019070212 Ă— 1011
95-th percentile2.019112512 Ă— 1011
Maximum2.0200101 Ă— 1011
Range199999970
Interquartile range (IQR)99999985

Descriptive statistics

Standard deviation50124647.64
Coefficient of variation (CV)0.0002483179904
Kurtosis-1.979721609
Mean2.018566901 Ă— 1011
Median Absolute Deviation (MAD)50000000
Skewness0.0003753057538
Sum7.073058421 Ă— 1015
Variance2.512480301 Ă— 1015
MonotonicityStrictly increasing
2023-08-29T16:16:04.204187image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0180101 Ă— 10111
 
< 0.1%
2.019050217 Ă— 10111
 
< 0.1%
2.019050214 Ă— 10111
 
< 0.1%
2.019050215 Ă— 10111
 
< 0.1%
2.019050215 Ă— 10111
 
< 0.1%
2.019050216 Ă— 10111
 
< 0.1%
2.019050216 Ă— 10111
 
< 0.1%
2.019050217 Ă— 10111
 
< 0.1%
2.019050218 Ă— 10111
 
< 0.1%
2.019050315 Ă— 10111
 
< 0.1%
Other values (35030) 35030
> 99.9%
ValueCountFrequency (%)
2.0180101 Ă— 10111
< 0.1%
2.018010101 Ă— 10111
< 0.1%
2.018010101 Ă— 10111
< 0.1%
2.018010102 Ă— 10111
< 0.1%
2.018010102 Ă— 10111
< 0.1%
ValueCountFrequency (%)
2.0200101 Ă— 10111
< 0.1%
2.019123123 Ă— 10111
< 0.1%
2.019123123 Ă— 10111
< 0.1%
2.019123122 Ă— 10111
< 0.1%
2.019123122 Ă— 10111
< 0.1%

TA_F_MDS
Real number (ℝ)

Distinct10261
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.68719264
Minimum16.646
Maximum35.454
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:04.399858image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum16.646
5-th percentile22.318
Q123.65
median24.968
Q327.517
95-th percentile30.88605
Maximum35.454
Range18.808
Interquartile range (IQR)3.867

Descriptive statistics

Standard deviation2.706107103
Coefficient of variation (CV)0.1053484957
Kurtosis-0.209861858
Mean25.68719264
Median Absolute Deviation (MAD)1.663
Skewness0.6734799672
Sum900079.23
Variance7.323015651
MonotonicityNot monotonic
2023-08-29T16:16:04.575266image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.087 18
 
0.1%
24.397 15
 
< 0.1%
23.652 15
 
< 0.1%
24.278 15
 
< 0.1%
24.505 15
 
< 0.1%
23.607 15
 
< 0.1%
23.895 15
 
< 0.1%
24.748 15
 
< 0.1%
23.76 14
 
< 0.1%
23.247 14
 
< 0.1%
Other values (10251) 34889
99.6%
ValueCountFrequency (%)
16.646 1
< 0.1%
17.158 1
< 0.1%
17.296 1
< 0.1%
17.559 1
< 0.1%
17.794 1
< 0.1%
ValueCountFrequency (%)
35.454 1
< 0.1%
35.437 1
< 0.1%
35.414 1
< 0.1%
35.291 1
< 0.1%
35.158 1
< 0.1%

TA_F_MDS_QC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06720890411
Minimum0
Maximum3
Zeros33993
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:04.728015image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3988025052
Coefficient of variation (CV)5.933774855
Kurtosis37.4570306
Mean0.06720890411
Median Absolute Deviation (MAD)0
Skewness6.132754207
Sum2355
Variance0.1590434382
MonotonicityNot monotonic
2023-08-29T16:16:04.837276image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 33993
97.0%
2 548
 
1.6%
3 380
 
1.1%
1 119
 
0.3%
ValueCountFrequency (%)
0 33993
97.0%
1 119
 
0.3%
2 548
 
1.6%
3 380
 
1.1%
ValueCountFrequency (%)
3 380
 
1.1%
2 548
 
1.6%
1 119
 
0.3%
0 33993
97.0%

TA_ERA
Real number (ℝ)

Distinct9659
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.68701093
Minimum17.54
Maximum34.569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:05.001451image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum17.54
5-th percentile22.64095
Q123.869
median25.083
Q327.25825
95-th percentile30.43205
Maximum34.569
Range17.029
Interquartile range (IQR)3.38925

Descriptive statistics

Standard deviation2.452456166
Coefficient of variation (CV)0.09547456388
Kurtosis-0.03889660007
Mean25.68701093
Median Absolute Deviation (MAD)1.506
Skewness0.6617696947
Sum900072.863
Variance6.014541246
MonotonicityNot monotonic
2023-08-29T16:16:05.176600image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.77 17
 
< 0.1%
23.318 17
 
< 0.1%
23.998 16
 
< 0.1%
23.892 16
 
< 0.1%
24.508 16
 
< 0.1%
23.528 16
 
< 0.1%
23.753 15
 
< 0.1%
25.213 15
 
< 0.1%
24.836 15
 
< 0.1%
24.481 15
 
< 0.1%
Other values (9649) 34882
99.5%
ValueCountFrequency (%)
17.54 1
< 0.1%
17.691 1
< 0.1%
17.842 1
< 0.1%
17.955 1
< 0.1%
17.972 1
< 0.1%
ValueCountFrequency (%)
34.569 1
< 0.1%
34.34 1
< 0.1%
34.285 1
< 0.1%
34.166 1
< 0.1%
34.111 1
< 0.1%

TA_F
Real number (ℝ)

Distinct10240
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.68564289
Minimum16.646
Maximum35.454
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:05.365983image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum16.646
5-th percentile22.359
Q123.656
median24.961
Q327.50425
95-th percentile30.8481
Maximum35.454
Range18.808
Interquartile range (IQR)3.84825

Descriptive statistics

Standard deviation2.692050726
Coefficient of variation (CV)0.1048076055
Kurtosis-0.1954250315
Mean25.68564289
Median Absolute Deviation (MAD)1.647
Skewness0.6858966304
Sum900024.927
Variance7.247137114
MonotonicityNot monotonic
2023-08-29T16:16:05.551597image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.087 18
 
0.1%
24.397 16
 
< 0.1%
24.278 15
 
< 0.1%
23.895 15
 
< 0.1%
24.384 15
 
< 0.1%
24.505 15
 
< 0.1%
23.094 14
 
< 0.1%
23.607 14
 
< 0.1%
23.76 14
 
< 0.1%
24.361 14
 
< 0.1%
Other values (10230) 34890
99.6%
ValueCountFrequency (%)
16.646 1
< 0.1%
17.158 1
< 0.1%
17.296 1
< 0.1%
17.559 1
< 0.1%
17.794 1
< 0.1%
ValueCountFrequency (%)
35.454 1
< 0.1%
35.437 1
< 0.1%
35.414 1
< 0.1%
35.291 1
< 0.1%
35.158 1
< 0.1%

TA_F_QC
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05636415525
Minimum0
Maximum2
Zeros33993
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:05.732759image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3258194338
Coefficient of variation (CV)5.780614156
Kurtosis30.78417753
Mean0.05636415525
Median Absolute Deviation (MAD)0
Skewness5.700055645
Sum1975
Variance0.1061583034
MonotonicityNot monotonic
2023-08-29T16:16:05.856258image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 33993
97.0%
2 928
 
2.6%
1 119
 
0.3%
ValueCountFrequency (%)
0 33993
97.0%
1 119
 
0.3%
2 928
 
2.6%
ValueCountFrequency (%)
2 928
 
2.6%
1 119
 
0.3%
0 33993
97.0%

SW_IN_POT
Real number (ℝ)

Distinct9280
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean419.2999213
Minimum0
Maximum1396.66
Zeros16891
Zeros (%)48.2%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:06.026743image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median21.75625
Q3926.552
95-th percentile1320.32
Maximum1396.66
Range1396.66
Interquartile range (IQR)926.552

Descriptive statistics

Standard deviation508.6333733
Coefficient of variation (CV)1.213053825
Kurtosis-1.217798452
Mean419.2999213
Median Absolute Deviation (MAD)21.75625
Skewness0.677325751
Sum14692269.24
Variance258707.9084
MonotonicityNot monotonic
2023-08-29T16:16:06.195885image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16891
48.2%
1324 6
 
< 0.1%
1145.47 6
 
< 0.1%
1075.6 6
 
< 0.1%
1282.16 6
 
< 0.1%
1034.67 6
 
< 0.1%
1241.87 6
 
< 0.1%
1371.77 6
 
< 0.1%
1297.14 6
 
< 0.1%
1299.28 6
 
< 0.1%
Other values (9270) 18095
51.6%
ValueCountFrequency (%)
0 16891
48.2%
0.00355701 2
 
< 0.1%
0.0248898 2
 
< 0.1%
0.0348239 2
 
< 0.1%
0.0558635 2
 
< 0.1%
ValueCountFrequency (%)
1396.66 2
< 0.1%
1396.54 2
< 0.1%
1396.47 2
< 0.1%
1396.45 2
< 0.1%
1396.37 4
< 0.1%

SW_IN_F_MDS
Real number (ℝ)

Distinct10445
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.9742528
Minimum0
Maximum1083
Zeros441
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:06.383833image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.013
Q10.071
median4.071
Q3282.525
95-th percentile687.505
Maximum1083
Range1083
Interquartile range (IQR)282.454

Descriptive statistics

Standard deviation236.1058255
Coefficient of variation (CV)1.466730371
Kurtosis0.7830683109
Mean160.9742528
Median Absolute Deviation (MAD)4.069
Skewness1.385716251
Sum5640537.817
Variance55745.96084
MonotonicityNot monotonic
2023-08-29T16:16:06.738323image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 441
 
1.3%
0.015 391
 
1.1%
0.014 386
 
1.1%
0.013 363
 
1.0%
0.016 339
 
1.0%
0.017 328
 
0.9%
0.012 308
 
0.9%
0.018 277
 
0.8%
0.011 236
 
0.7%
0.019 233
 
0.7%
Other values (10435) 31738
90.6%
ValueCountFrequency (%)
0 441
1.3%
0.001 11
 
< 0.1%
0.002 21
 
0.1%
0.003 33
 
0.1%
0.004 26
 
0.1%
ValueCountFrequency (%)
1083 1
< 0.1%
1053 1
< 0.1%
1052 1
< 0.1%
1024 1
< 0.1%
1016 1
< 0.1%

SW_IN_F_MDS_QC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.068293379
Minimum0
Maximum3
Zeros33919
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:06.881155image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3918303654
Coefficient of variation (CV)5.737457586
Kurtosis35.47441521
Mean0.068293379
Median Absolute Deviation (MAD)0
Skewness5.953083165
Sum2393
Variance0.1535310352
MonotonicityNot monotonic
2023-08-29T16:16:06.989750image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 33919
96.8%
2 666
 
1.9%
3 303
 
0.9%
1 152
 
0.4%
ValueCountFrequency (%)
0 33919
96.8%
1 152
 
0.4%
2 666
 
1.9%
3 303
 
0.9%
ValueCountFrequency (%)
3 303
 
0.9%
2 666
 
1.9%
1 152
 
0.4%
0 33919
96.8%

SW_IN_ERA
Real number (ℝ)

Distinct17304
Distinct (%)49.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.6202444
Minimum0
Maximum863.871
Zeros17516
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:07.153808image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1365
Q3282.77875
95-th percentile608.0385
Maximum863.871
Range863.871
Interquartile range (IQR)282.77875

Descriptive statistics

Standard deviation212.3961418
Coefficient of variation (CV)1.391664275
Kurtosis0.2632910443
Mean152.6202444
Median Absolute Deviation (MAD)0.1365
Skewness1.219429063
Sum5347813.365
Variance45112.12107
MonotonicityNot monotonic
2023-08-29T16:16:07.321604image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17516
50.0%
77.223 3
 
< 0.1%
316.703 3
 
< 0.1%
13.159 3
 
< 0.1%
9.635 3
 
< 0.1%
516.022 2
 
< 0.1%
577.625 2
 
< 0.1%
251.192 2
 
< 0.1%
356.474 2
 
< 0.1%
422.97 2
 
< 0.1%
Other values (17294) 17502
49.9%
ValueCountFrequency (%)
0 17516
50.0%
0.029 1
 
< 0.1%
0.058 1
 
< 0.1%
0.104 1
 
< 0.1%
0.108 1
 
< 0.1%
ValueCountFrequency (%)
863.871 1
< 0.1%
855.197 1
< 0.1%
852.938 1
< 0.1%
846.463 1
< 0.1%
844.328 1
< 0.1%

SW_IN_F
Real number (ℝ)

Distinct10672
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.9554733
Minimum0
Maximum1083
Zeros669
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:07.504993image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.012
Q10.071
median3.999
Q3282.48275
95-th percentile686.79075
Maximum1083
Range1083
Interquartile range (IQR)282.41175

Descriptive statistics

Standard deviation236.0412294
Coefficient of variation (CV)1.466500173
Kurtosis0.7806490776
Mean160.9554733
Median Absolute Deviation (MAD)3.999
Skewness1.384972985
Sum5639879.784
Variance55715.46196
MonotonicityNot monotonic
2023-08-29T16:16:07.691981image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 669
 
1.9%
0.015 383
 
1.1%
0.014 369
 
1.1%
0.013 355
 
1.0%
0.016 324
 
0.9%
0.012 305
 
0.9%
0.017 303
 
0.9%
0.018 263
 
0.8%
0.011 236
 
0.7%
0.019 222
 
0.6%
Other values (10662) 31611
90.2%
ValueCountFrequency (%)
0 669
1.9%
0.001 11
 
< 0.1%
0.002 21
 
0.1%
0.003 33
 
0.1%
0.004 26
 
0.1%
ValueCountFrequency (%)
1083 1
< 0.1%
1053 1
< 0.1%
1052 1
< 0.1%
1024 1
< 0.1%
1016 1
< 0.1%

SW_IN_F_QC
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05964611872
Minimum0
Maximum2
Zeros33919
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:07.829118image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3337661721
Coefficient of variation (CV)5.595773527
Kurtosis28.86784086
Mean0.05964611872
Median Absolute Deviation (MAD)0
Skewness5.525409241
Sum2090
Variance0.1113998576
MonotonicityNot monotonic
2023-08-29T16:16:07.944354image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 33919
96.8%
2 969
 
2.8%
1 152
 
0.4%
ValueCountFrequency (%)
0 33919
96.8%
1 152
 
0.4%
2 969
 
2.8%
ValueCountFrequency (%)
2 969
 
2.8%
1 152
 
0.4%
0 33919
96.8%

LW_IN_F_MDS
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

LW_IN_F_MDS_QC
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

LW_IN_ERA
Real number (ℝ)

Distinct14193
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean418.0845846
Minimum334.149
Maximum453.598
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:08.117831image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum334.149
5-th percentile398.77575
Q1411.0375
median418.949
Q3426.38925
95-th percentile435.2381
Maximum453.598
Range119.449
Interquartile range (IQR)15.35175

Descriptive statistics

Standard deviation11.96588106
Coefficient of variation (CV)0.02862071814
Kurtosis3.129105455
Mean418.0845846
Median Absolute Deviation (MAD)7.671
Skewness-0.9227181811
Sum14649683.85
Variance143.1823094
MonotonicityNot monotonic
2023-08-29T16:16:08.294585image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
424.085 14
 
< 0.1%
405.603 10
 
< 0.1%
424.858 10
 
< 0.1%
415.09 10
 
< 0.1%
407.896 10
 
< 0.1%
415.965 8
 
< 0.1%
426.665 8
 
< 0.1%
425.794 8
 
< 0.1%
406.742 8
 
< 0.1%
427.411 8
 
< 0.1%
Other values (14183) 34946
99.7%
ValueCountFrequency (%)
334.149 2
< 0.1%
337.228 2
< 0.1%
339.054 2
< 0.1%
339.159 2
< 0.1%
342.868 2
< 0.1%
ValueCountFrequency (%)
453.598 2
< 0.1%
452.891 2
< 0.1%
452.227 2
< 0.1%
450.738 2
< 0.1%
450.17 2
< 0.1%

LW_IN_F
Real number (ℝ)

Distinct14193
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean418.0845846
Minimum334.149
Maximum453.598
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:08.472272image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum334.149
5-th percentile398.77575
Q1411.0375
median418.949
Q3426.38925
95-th percentile435.2381
Maximum453.598
Range119.449
Interquartile range (IQR)15.35175

Descriptive statistics

Standard deviation11.96588106
Coefficient of variation (CV)0.02862071814
Kurtosis3.129105455
Mean418.0845846
Median Absolute Deviation (MAD)7.671
Skewness-0.9227181811
Sum14649683.85
Variance143.1823094
MonotonicityNot monotonic
2023-08-29T16:16:08.647078image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
424.085 14
 
< 0.1%
405.603 10
 
< 0.1%
424.858 10
 
< 0.1%
415.09 10
 
< 0.1%
407.896 10
 
< 0.1%
415.965 8
 
< 0.1%
426.665 8
 
< 0.1%
425.794 8
 
< 0.1%
406.742 8
 
< 0.1%
427.411 8
 
< 0.1%
Other values (14183) 34946
99.7%
ValueCountFrequency (%)
334.149 2
< 0.1%
337.228 2
< 0.1%
339.054 2
< 0.1%
339.159 2
< 0.1%
342.868 2
< 0.1%
ValueCountFrequency (%)
453.598 2
< 0.1%
452.891 2
< 0.1%
452.227 2
< 0.1%
450.738 2
< 0.1%
450.17 2
< 0.1%

LW_IN_F_QC
Real number (ℝ)

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:08.786189image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum70080
Variance0
MonotonicityIncreasing
2023-08-29T16:16:08.890491image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 35040
100.0%
ValueCountFrequency (%)
2 35040
100.0%
ValueCountFrequency (%)
2 35040
100.0%

LW_IN_JSB
Real number (ℝ)

Distinct23275
Distinct (%)66.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean482.7956882
Minimum364.068
Maximum554.475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:09.040420image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum364.068
5-th percentile445.6578
Q1471.115
median482.4755
Q3496.73075
95-th percentile520.1382
Maximum554.475
Range190.407
Interquartile range (IQR)25.61575

Descriptive statistics

Standard deviation23.38184385
Coefficient of variation (CV)0.04843010082
Kurtosis2.38447358
Mean482.7956882
Median Absolute Deviation (MAD)12.6645
Skewness-0.7303095347
Sum16917160.91
Variance546.710622
MonotonicityNot monotonic
2023-08-29T16:16:09.213442image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
475.076 12
 
< 0.1%
471.799 12
 
< 0.1%
480.676 12
 
< 0.1%
472.32 12
 
< 0.1%
480.842 12
 
< 0.1%
473.364 11
 
< 0.1%
470.636 11
 
< 0.1%
473.047 11
 
< 0.1%
471.524 11
 
< 0.1%
476.989 11
 
< 0.1%
Other values (23265) 34925
99.7%
ValueCountFrequency (%)
364.068 1
< 0.1%
366.439 1
< 0.1%
367.694 1
< 0.1%
368.266 1
< 0.1%
369.291 1
< 0.1%
ValueCountFrequency (%)
554.475 1
< 0.1%
553.582 1
< 0.1%
553.55 1
< 0.1%
553.117 1
< 0.1%
551.867 1
< 0.1%

LW_IN_JSB_QC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07345890411
Minimum0
Maximum3
Zeros33829
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:09.361543image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.409333332
Coefficient of variation (CV)5.572276594
Kurtosis33.95854226
Mean0.07345890411
Median Absolute Deviation (MAD)0
Skewness5.827778824
Sum2574
Variance0.1675537767
MonotonicityNot monotonic
2023-08-29T16:16:09.468940image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 33829
96.5%
2 603
 
1.7%
3 380
 
1.1%
1 228
 
0.7%
ValueCountFrequency (%)
0 33829
96.5%
1 228
 
0.7%
2 603
 
1.7%
3 380
 
1.1%
ValueCountFrequency (%)
3 380
 
1.1%
2 603
 
1.7%
1 228
 
0.7%
0 33829
96.5%

LW_IN_JSB_ERA
Real number (ℝ)

Distinct12871
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean482.9795727
Minimum427.3
Maximum506.537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:09.629860image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum427.3
5-th percentile470.17085
Q1478.30475
median483.553
Q3488.48875
95-th percentile494.3581
Maximum506.537
Range79.237
Interquartile range (IQR)10.184

Descriptive statistics

Standard deviation7.937610228
Coefficient of variation (CV)0.01643467069
Kurtosis3.12912894
Mean482.9795727
Median Absolute Deviation (MAD)5.089
Skewness-0.9227216506
Sum16923604.23
Variance63.00565612
MonotonicityNot monotonic
2023-08-29T16:16:09.965138image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
486.96 14
 
< 0.1%
480.5 14
 
< 0.1%
488.476 12
 
< 0.1%
484.328 12
 
< 0.1%
480.993 12
 
< 0.1%
484.711 10
 
< 0.1%
487.108 10
 
< 0.1%
488.094 10
 
< 0.1%
476.221 10
 
< 0.1%
476.542 10
 
< 0.1%
Other values (12861) 34926
99.7%
ValueCountFrequency (%)
427.3 2
< 0.1%
429.343 2
< 0.1%
430.554 2
< 0.1%
430.624 2
< 0.1%
433.084 2
< 0.1%
ValueCountFrequency (%)
506.537 2
< 0.1%
506.068 2
< 0.1%
505.628 2
< 0.1%
504.64 2
< 0.1%
504.263 2
< 0.1%

LW_IN_JSB_F
Real number (ℝ)

Distinct23070
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean482.932721
Minimum364.068
Maximum554.475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:10.157701image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum364.068
5-th percentile446.8559
Q1471.564
median482.6075
Q3496.1555
95-th percentile519.8324
Maximum554.475
Range190.407
Interquartile range (IQR)24.5915

Descriptive statistics

Standard deviation22.86362203
Coefficient of variation (CV)0.04734328621
Kurtosis2.553688404
Mean482.932721
Median Absolute Deviation (MAD)12.144
Skewness-0.7291204917
Sum16921962.54
Variance522.7452123
MonotonicityNot monotonic
2023-08-29T16:16:10.328669image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
470.636 13
 
< 0.1%
480.676 12
 
< 0.1%
471.799 12
 
< 0.1%
475.076 12
 
< 0.1%
472.075 12
 
< 0.1%
472.32 12
 
< 0.1%
480.842 12
 
< 0.1%
473.896 11
 
< 0.1%
473.047 11
 
< 0.1%
476.989 11
 
< 0.1%
Other values (23060) 34922
99.7%
ValueCountFrequency (%)
364.068 1
< 0.1%
366.439 1
< 0.1%
367.694 1
< 0.1%
368.266 1
< 0.1%
369.291 1
< 0.1%
ValueCountFrequency (%)
554.475 1
< 0.1%
553.582 1
< 0.1%
553.55 1
< 0.1%
553.117 1
< 0.1%
551.867 1
< 0.1%

LW_IN_JSB_F_QC
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06261415525
Minimum0
Maximum2
Zeros33829
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:10.477468image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3388276924
Coefficient of variation (CV)5.411359317
Kurtosis27.37548139
Mean0.06261415525
Median Absolute Deviation (MAD)0
Skewness5.376612453
Sum2194
Variance0.1148042051
MonotonicityNot monotonic
2023-08-29T16:16:10.594089image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 33829
96.5%
2 983
 
2.8%
1 228
 
0.7%
ValueCountFrequency (%)
0 33829
96.5%
1 228
 
0.7%
2 983
 
2.8%
ValueCountFrequency (%)
2 983
 
2.8%
1 228
 
0.7%
0 33829
96.5%

VPD_F_MDS
Real number (ℝ)

Distinct11352
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.749463271
Minimum0
Maximum29.708
Zeros12114
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:10.757057image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.2285
Q36.057
95-th percentile14.658
Maximum29.708
Range29.708
Interquartile range (IQR)6.057

Descriptive statistics

Standard deviation5.114954193
Coefficient of variation (CV)1.364183037
Kurtosis2.071249308
Mean3.749463271
Median Absolute Deviation (MAD)1.2285
Skewness1.585587856
Sum131381.193
Variance26.16275639
MonotonicityNot monotonic
2023-08-29T16:16:10.928361image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12114
34.6%
1.083 18
 
0.1%
0.152 16
 
< 0.1%
0.42 14
 
< 0.1%
0.226 13
 
< 0.1%
0.064 13
 
< 0.1%
0.023 13
 
< 0.1%
0.031 12
 
< 0.1%
0.219 12
 
< 0.1%
0.525 12
 
< 0.1%
Other values (11342) 22803
65.1%
ValueCountFrequency (%)
0 12114
34.6%
0.001 8
 
< 0.1%
0.002 8
 
< 0.1%
0.003 5
 
< 0.1%
0.004 7
 
< 0.1%
ValueCountFrequency (%)
29.708 1
< 0.1%
29.083 1
< 0.1%
29.074 1
< 0.1%
28.413 1
< 0.1%
28.209 1
< 0.1%

VPD_F_MDS_QC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06720890411
Minimum0
Maximum3
Zeros33993
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:11.077665image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3988025052
Coefficient of variation (CV)5.933774855
Kurtosis37.4570306
Mean0.06720890411
Median Absolute Deviation (MAD)0
Skewness6.132754207
Sum2355
Variance0.1590434382
MonotonicityNot monotonic
2023-08-29T16:16:11.182930image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 33993
97.0%
2 548
 
1.6%
3 380
 
1.1%
1 119
 
0.3%
ValueCountFrequency (%)
0 33993
97.0%
1 119
 
0.3%
2 548
 
1.6%
3 380
 
1.1%
ValueCountFrequency (%)
3 380
 
1.1%
2 548
 
1.6%
1 119
 
0.3%
0 33993
97.0%

VPD_ERA
Real number (ℝ)

Distinct11022
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.736470063
Minimum0
Maximum24.373
Zeros1257
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:11.338269image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.058
Q10.713
median2.031
Q35.377
95-th percentile12.751
Maximum24.373
Range24.373
Interquartile range (IQR)4.664

Descriptive statistics

Standard deviation4.158723334
Coefficient of variation (CV)1.113008606
Kurtosis1.909711716
Mean3.736470063
Median Absolute Deviation (MAD)1.645
Skewness1.533919924
Sum130925.911
Variance17.29497977
MonotonicityNot monotonic
2023-08-29T16:16:11.514501image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1257
 
3.6%
0.788 24
 
0.1%
0.573 23
 
0.1%
0.529 22
 
0.1%
0.635 20
 
0.1%
0.503 20
 
0.1%
0.518 19
 
0.1%
0.01 19
 
0.1%
0.22 19
 
0.1%
0.231 19
 
0.1%
Other values (11012) 33598
95.9%
ValueCountFrequency (%)
0 1257
3.6%
0.001 6
 
< 0.1%
0.002 7
 
< 0.1%
0.003 7
 
< 0.1%
0.004 10
 
< 0.1%
ValueCountFrequency (%)
24.373 1
< 0.1%
24.043 1
< 0.1%
23.722 1
< 0.1%
23.713 1
< 0.1%
23.688 1
< 0.1%

VPD_F
Real number (ℝ)

Distinct11394
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.732338499
Minimum0
Maximum29.708
Zeros12055
Zeros (%)34.4%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:11.690543image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.216
Q36.00925
95-th percentile14.60505
Maximum29.708
Range29.708
Interquartile range (IQR)6.00925

Descriptive statistics

Standard deviation5.101443843
Coefficient of variation (CV)1.366822394
Kurtosis2.121884208
Mean3.732338499
Median Absolute Deviation (MAD)1.216
Skewness1.596938271
Sum130781.141
Variance26.02472929
MonotonicityNot monotonic
2023-08-29T16:16:11.857641image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12055
34.4%
1.083 18
 
0.1%
0.152 15
 
< 0.1%
0.42 14
 
< 0.1%
0.064 13
 
< 0.1%
0.085 12
 
< 0.1%
0.309 12
 
< 0.1%
0.226 12
 
< 0.1%
0.248 12
 
< 0.1%
0.185 12
 
< 0.1%
Other values (11384) 22865
65.3%
ValueCountFrequency (%)
0 12055
34.4%
0.001 8
 
< 0.1%
0.002 8
 
< 0.1%
0.003 6
 
< 0.1%
0.004 8
 
< 0.1%
ValueCountFrequency (%)
29.708 1
< 0.1%
29.083 1
< 0.1%
29.074 1
< 0.1%
28.413 1
< 0.1%
28.209 1
< 0.1%

VPD_F_QC
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05636415525
Minimum0
Maximum2
Zeros33993
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:12.001738image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3258194338
Coefficient of variation (CV)5.780614156
Kurtosis30.78417753
Mean0.05636415525
Median Absolute Deviation (MAD)0
Skewness5.700055645
Sum1975
Variance0.1061583034
MonotonicityNot monotonic
2023-08-29T16:16:12.114818image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 33993
97.0%
2 928
 
2.6%
1 119
 
0.3%
ValueCountFrequency (%)
0 33993
97.0%
1 119
 
0.3%
2 928
 
2.6%
ValueCountFrequency (%)
2 928
 
2.6%
1 119
 
0.3%
0 33993
97.0%

PA
Real number (ℝ)

Distinct1535
Distinct (%)4.5%
Missing1267
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean98.82759856
Minimum98.027
Maximum99.764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:12.280417image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum98.027
5-th percentile98.392
Q198.649
median98.83
Q399.003
95-th percentile99.26
Maximum99.764
Range1.737
Interquartile range (IQR)0.354

Descriptive statistics

Standard deviation0.2623189446
Coefficient of variation (CV)0.002654308598
Kurtosis-0.07470508081
Mean98.82759856
Median Absolute Deviation (MAD)0.177
Skewness0.06617672592
Sum3337704.486
Variance0.06881122869
MonotonicityNot monotonic
2023-08-29T16:16:12.455389image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.695 94
 
0.3%
98.697 85
 
0.2%
98.778 72
 
0.2%
98.838 70
 
0.2%
98.895 70
 
0.2%
98.689 70
 
0.2%
98.692 69
 
0.2%
98.832 69
 
0.2%
98.898 68
 
0.2%
98.823 68
 
0.2%
Other values (1525) 33038
94.3%
(Missing) 1267
 
3.6%
ValueCountFrequency (%)
98.027 1
< 0.1%
98.029 1
< 0.1%
98.043 1
< 0.1%
98.047 1
< 0.1%
98.049 1
< 0.1%
ValueCountFrequency (%)
99.764 1
< 0.1%
99.759 1
< 0.1%
99.752 1
< 0.1%
99.749 2
< 0.1%
99.747 1
< 0.1%

PA_ERA
Real number (ℝ)

Distinct1509
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.82976019
Minimum98.009
Maximum99.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:12.635906image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum98.009
5-th percentile98.402
Q198.655
median98.83
Q399.004
95-th percentile99.254
Maximum99.74
Range1.731
Interquartile range (IQR)0.349

Descriptive statistics

Standard deviation0.2588112261
Coefficient of variation (CV)0.00261875801
Kurtosis-0.1215442138
Mean98.82976019
Median Absolute Deviation (MAD)0.175
Skewness0.04961455974
Sum3462994.797
Variance0.06698325077
MonotonicityNot monotonic
2023-08-29T16:16:12.804071image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.892 72
 
0.2%
98.867 71
 
0.2%
98.757 70
 
0.2%
98.746 70
 
0.2%
98.727 69
 
0.2%
98.852 69
 
0.2%
98.847 68
 
0.2%
98.762 68
 
0.2%
98.788 67
 
0.2%
98.789 67
 
0.2%
Other values (1499) 34349
98.0%
ValueCountFrequency (%)
98.009 1
< 0.1%
98.022 1
< 0.1%
98.035 1
< 0.1%
98.047 1
< 0.1%
98.053 1
< 0.1%
ValueCountFrequency (%)
99.74 1
 
< 0.1%
99.728 1
 
< 0.1%
99.723 3
< 0.1%
99.716 2
< 0.1%
99.709 1
 
< 0.1%

PA_F
Real number (ℝ)

Distinct1538
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.82973405
Minimum98.027
Maximum99.764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:13.150336image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum98.027
5-th percentile98.391
Q198.65
median98.832
Q399.007
95-th percentile99.262
Maximum99.764
Range1.737
Interquartile range (IQR)0.357

Descriptive statistics

Standard deviation0.2635394521
Coefficient of variation (CV)0.002666600842
Kurtosis-0.1184488702
Mean98.82973405
Median Absolute Deviation (MAD)0.179
Skewness0.05074474388
Sum3462993.881
Variance0.0694530428
MonotonicityNot monotonic
2023-08-29T16:16:13.323144image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.695 95
 
0.3%
98.697 87
 
0.2%
98.778 73
 
0.2%
98.689 71
 
0.2%
98.823 71
 
0.2%
98.692 70
 
0.2%
98.832 70
 
0.2%
98.895 70
 
0.2%
98.838 70
 
0.2%
98.898 69
 
0.2%
Other values (1528) 34294
97.9%
ValueCountFrequency (%)
98.027 1
< 0.1%
98.029 1
< 0.1%
98.043 1
< 0.1%
98.047 1
< 0.1%
98.049 1
< 0.1%
ValueCountFrequency (%)
99.764 1
< 0.1%
99.759 1
< 0.1%
99.752 1
< 0.1%
99.749 2
< 0.1%
99.747 1
< 0.1%

PA_F_QC
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0723173516
Minimum0
Maximum2
Zeros33773
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:13.466116image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.373374989
Coefficient of variation (CV)5.163006951
Kurtosis22.696805
Mean0.0723173516
Median Absolute Deviation (MAD)0
Skewness4.969457669
Sum2534
Variance0.1394088824
MonotonicityNot monotonic
2023-08-29T16:16:13.580654image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 33773
96.4%
2 1267
 
3.6%
ValueCountFrequency (%)
0 33773
96.4%
2 1267
 
3.6%
ValueCountFrequency (%)
2 1267
 
3.6%
0 33773
96.4%

P
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

P_ERA
Real number (ℝ)

Distinct1498
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1617718037
Minimum0
Maximum4.809
Zeros12548
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:13.736707image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.115
95-th percentile0.9012
Maximum4.809
Range4.809
Interquartile range (IQR)0.115

Descriptive statistics

Standard deviation0.3975146606
Coefficient of variation (CV)2.457255539
Kurtosis27.28297149
Mean0.1617718037
Median Absolute Deviation (MAD)0.01
Skewness4.535309054
Sum5668.484
Variance0.1580179054
MonotonicityNot monotonic
2023-08-29T16:16:13.909729image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12548
35.8%
0.001 1466
 
4.2%
0.002 650
 
1.9%
0.003 536
 
1.5%
0.004 452
 
1.3%
0.005 408
 
1.2%
0.006 356
 
1.0%
0.007 324
 
0.9%
0.008 306
 
0.9%
0.009 288
 
0.8%
Other values (1488) 17706
50.5%
ValueCountFrequency (%)
0 12548
35.8%
0.001 1466
 
4.2%
0.002 650
 
1.9%
0.003 536
 
1.5%
0.004 452
 
1.3%
ValueCountFrequency (%)
4.809 2
< 0.1%
4.699 2
< 0.1%
4.6 2
< 0.1%
4.46 2
< 0.1%
4.457 2
< 0.1%

P_F
Real number (ℝ)

Distinct1498
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1617718037
Minimum0
Maximum4.809
Zeros12548
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:14.082433image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.115
95-th percentile0.9012
Maximum4.809
Range4.809
Interquartile range (IQR)0.115

Descriptive statistics

Standard deviation0.3975146606
Coefficient of variation (CV)2.457255539
Kurtosis27.28297149
Mean0.1617718037
Median Absolute Deviation (MAD)0.01
Skewness4.535309054
Sum5668.484
Variance0.1580179054
MonotonicityNot monotonic
2023-08-29T16:16:14.257312image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12548
35.8%
0.001 1466
 
4.2%
0.002 650
 
1.9%
0.003 536
 
1.5%
0.004 452
 
1.3%
0.005 408
 
1.2%
0.006 356
 
1.0%
0.007 324
 
0.9%
0.008 306
 
0.9%
0.009 288
 
0.8%
Other values (1488) 17706
50.5%
ValueCountFrequency (%)
0 12548
35.8%
0.001 1466
 
4.2%
0.002 650
 
1.9%
0.003 536
 
1.5%
0.004 452
 
1.3%
ValueCountFrequency (%)
4.809 2
< 0.1%
4.699 2
< 0.1%
4.6 2
< 0.1%
4.46 2
< 0.1%
4.457 2
< 0.1%

P_F_QC
Real number (ℝ)

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:14.392703image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum70080
Variance0
MonotonicityIncreasing
2023-08-29T16:16:14.499070image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 35040
100.0%
ValueCountFrequency (%)
2 35040
100.0%
ValueCountFrequency (%)
2 35040
100.0%

WS
Real number (ℝ)

Distinct3016
Distinct (%)11.4%
Missing8593
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean1.242299089
Minimum0.008
Maximum5.673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:14.648666image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.008
5-th percentile0.377
Q10.78
median1.177
Q31.617
95-th percentile2.327
Maximum5.673
Range5.665
Interquartile range (IQR)0.837

Descriptive statistics

Standard deviation0.6201170997
Coefficient of variation (CV)0.4991689242
Kurtosis1.440212521
Mean1.242299089
Median Absolute Deviation (MAD)0.415
Skewness0.8404513444
Sum32855.084
Variance0.3845452174
MonotonicityNot monotonic
2023-08-29T16:16:14.807537image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.115 29
 
0.1%
0.77 28
 
0.1%
0.926 28
 
0.1%
0.92 28
 
0.1%
0.913 27
 
0.1%
0.833 27
 
0.1%
1.016 27
 
0.1%
1.243 27
 
0.1%
1.145 27
 
0.1%
1.109 26
 
0.1%
Other values (3006) 26173
74.7%
(Missing) 8593
 
24.5%
ValueCountFrequency (%)
0.008 1
< 0.1%
0.019 2
< 0.1%
0.021 1
< 0.1%
0.022 1
< 0.1%
0.023 2
< 0.1%
ValueCountFrequency (%)
5.673 1
< 0.1%
5.546 1
< 0.1%
4.907 1
< 0.1%
4.843 1
< 0.1%
4.842 1
< 0.1%

WS_ERA
Real number (ℝ)

Distinct2711
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.071795947
Minimum0.02
Maximum4.311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:14.982670image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.331
Q10.692
median1.009
Q31.395
95-th percentile1.995
Maximum4.311
Range4.291
Interquartile range (IQR)0.703

Descriptive statistics

Standard deviation0.5199990084
Coefficient of variation (CV)0.485166052
Kurtosis0.7597767511
Mean1.071795947
Median Absolute Deviation (MAD)0.345
Skewness0.7167716098
Sum37555.73
Variance0.2703989688
MonotonicityNot monotonic
2023-08-29T16:16:15.149744image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.796 43
 
0.1%
0.836 41
 
0.1%
0.988 40
 
0.1%
0.924 40
 
0.1%
0.803 40
 
0.1%
1.001 39
 
0.1%
0.852 39
 
0.1%
0.831 39
 
0.1%
0.931 38
 
0.1%
1.04 38
 
0.1%
Other values (2701) 34643
98.9%
ValueCountFrequency (%)
0.02 1
 
< 0.1%
0.024 1
 
< 0.1%
0.03 1
 
< 0.1%
0.034 2
< 0.1%
0.038 3
< 0.1%
ValueCountFrequency (%)
4.311 1
< 0.1%
4.193 1
< 0.1%
4.074 1
< 0.1%
4.018 1
< 0.1%
3.977 1
< 0.1%

WS_F
Real number (ℝ)

Distinct3072
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.207658761
Minimum0.008
Maximum5.673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:15.318067image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.008
5-th percentile0.36595
Q10.76275
median1.14
Q31.568
95-th percentile2.26605
Maximum5.673
Range5.665
Interquartile range (IQR)0.80525

Descriptive statistics

Standard deviation0.6024973155
Coefficient of variation (CV)0.4988969855
Kurtosis1.443639208
Mean1.207658761
Median Absolute Deviation (MAD)0.4
Skewness0.8442291213
Sum42316.363
Variance0.3630030152
MonotonicityNot monotonic
2023-08-29T16:16:15.478413image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.115 38
 
0.1%
0.803 38
 
0.1%
0.833 37
 
0.1%
0.92 37
 
0.1%
0.805 36
 
0.1%
1.344 35
 
0.1%
1.016 35
 
0.1%
0.926 35
 
0.1%
0.913 35
 
0.1%
0.978 34
 
0.1%
Other values (3062) 34680
99.0%
ValueCountFrequency (%)
0.008 1
< 0.1%
0.019 2
< 0.1%
0.02 1
< 0.1%
0.021 1
< 0.1%
0.022 1
< 0.1%
ValueCountFrequency (%)
5.673 1
< 0.1%
5.546 1
< 0.1%
4.907 1
< 0.1%
4.843 1
< 0.1%
4.842 1
< 0.1%

WS_F_QC
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4904680365
Minimum0
Maximum2
Zeros26447
Zeros (%)75.5%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:15.614876image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8604640076
Coefficient of variation (CV)1.754373259
Kurtosis-0.597262322
Mean0.4904680365
Median Absolute Deviation (MAD)0
Skewness1.184386665
Sum17186
Variance0.7403983083
MonotonicityNot monotonic
2023-08-29T16:16:15.727607image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 26447
75.5%
2 8593
 
24.5%
ValueCountFrequency (%)
0 26447
75.5%
2 8593
 
24.5%
ValueCountFrequency (%)
2 8593
 
24.5%
0 26447
75.5%

WD
Real number (ℝ)

Distinct26446
Distinct (%)> 99.9%
Missing8593
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean181.7339375
Minimum0.008075
Maximum359.988858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:15.892359image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.008075
5-th percentile10.9619497
Q173.992747
median183.998874
Q3287.4815525
95-th percentile349.0936394
Maximum359.988858
Range359.980783
Interquartile range (IQR)213.4888055

Descriptive statistics

Standard deviation113.4484392
Coefficient of variation (CV)0.6242556606
Kurtosis-1.358007251
Mean181.7339375
Median Absolute Deviation (MAD)106.174823
Skewness-0.03330385048
Sum4806317.446
Variance12870.54837
MonotonicityNot monotonic
2023-08-29T16:16:16.225385image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
258.731408 2
 
< 0.1%
22.20081 1
 
< 0.1%
23.17391 1
 
< 0.1%
121.964815 1
 
< 0.1%
115.296494 1
 
< 0.1%
116.051932 1
 
< 0.1%
80.333305 1
 
< 0.1%
64.344576 1
 
< 0.1%
112.225019 1
 
< 0.1%
130.939517 1
 
< 0.1%
Other values (26436) 26436
75.4%
(Missing) 8593
 
24.5%
ValueCountFrequency (%)
0.008075 1
< 0.1%
0.021357 1
< 0.1%
0.021952 1
< 0.1%
0.02582 1
< 0.1%
0.036169 1
< 0.1%
ValueCountFrequency (%)
359.988858 1
< 0.1%
359.982808 1
< 0.1%
359.980591 1
< 0.1%
359.974032 1
< 0.1%
359.973113 1
< 0.1%

USTAR
Real number (ℝ)

Distinct25434
Distinct (%)96.2%
Missing8593
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean0.1871540174
Minimum0.004563
Maximum1.279706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:16.404582image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.004563
5-th percentile0.0477663
Q10.0943755
median0.153543
Q30.248674
95-th percentile0.4346851
Maximum1.279706
Range1.275143
Interquartile range (IQR)0.1542985

Descriptive statistics

Standard deviation0.125549283
Coefficient of variation (CV)0.6708340264
Kurtosis2.708683713
Mean0.1871540174
Median Absolute Deviation (MAD)0.06968
Skewness1.416568057
Sum4949.662297
Variance0.01576262247
MonotonicityNot monotonic
2023-08-29T16:16:16.585671image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.098258 4
 
< 0.1%
0.15301 3
 
< 0.1%
0.126712 3
 
< 0.1%
0.146817 3
 
< 0.1%
0.102988 3
 
< 0.1%
0.121178 3
 
< 0.1%
0.211469 3
 
< 0.1%
0.140049 3
 
< 0.1%
0.107363 3
 
< 0.1%
0.068046 3
 
< 0.1%
Other values (25424) 26416
75.4%
(Missing) 8593
 
24.5%
ValueCountFrequency (%)
0.004563 1
< 0.1%
0.008137 1
< 0.1%
0.008502 1
< 0.1%
0.008564 1
< 0.1%
0.008937 1
< 0.1%
ValueCountFrequency (%)
1.279706 1
< 0.1%
1.113754 1
< 0.1%
1.088441 1
< 0.1%
1.009235 1
< 0.1%
0.953634 1
< 0.1%

RH
Real number (ℝ)

Distinct16106
Distinct (%)47.4%
Missing1047
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean90.54214276
Minimum36.811
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:16.767621image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum36.811
5-th percentile66.3226
Q183.427
median96.189
Q3100
95-th percentile100
Maximum100
Range63.189
Interquartile range (IQR)16.573

Descriptive statistics

Standard deviation11.79845962
Coefficient of variation (CV)0.130309039
Kurtosis0.6777374518
Mean90.54214276
Median Absolute Deviation (MAD)3.811
Skewness-1.224985901
Sum3077799.059
Variance139.2036493
MonotonicityNot monotonic
2023-08-29T16:16:16.936836image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 11997
34.2%
96.481 7
 
< 0.1%
99.106 7
 
< 0.1%
98.418 7
 
< 0.1%
99.003 7
 
< 0.1%
99.727 7
 
< 0.1%
99.861 6
 
< 0.1%
98.758 6
 
< 0.1%
99.666 6
 
< 0.1%
97.266 6
 
< 0.1%
Other values (16096) 21937
62.6%
(Missing) 1047
 
3.0%
ValueCountFrequency (%)
36.811 1
< 0.1%
36.885 1
< 0.1%
37.022 1
< 0.1%
38.171 1
< 0.1%
38.223 1
< 0.1%
ValueCountFrequency (%)
100 11997
34.2%
99.999 2
 
< 0.1%
99.998 2
 
< 0.1%
99.997 2
 
< 0.1%
99.996 2
 
< 0.1%

NETRAD
Real number (ℝ)

Distinct29151
Distinct (%)85.8%
Missing1047
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean111.2219726
Minimum-152.4
Maximum909.27
Zeros0
Zeros (%)0.0%
Negative18736
Negative (%)53.5%
Memory size273.9 KiB
2023-08-29T16:16:17.119854image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-152.4
5-th percentile-35.9394
Q1-22.615
median-8.8212
Q3203.38
95-th percentile570.196
Maximum909.27
Range1061.67
Interquartile range (IQR)225.995

Descriptive statistics

Standard deviation203.9426837
Coefficient of variation (CV)1.833654618
Kurtosis0.9950937012
Mean111.2219726
Median Absolute Deviation (MAD)24.8158
Skewness1.458291025
Sum3780768.513
Variance41592.61821
MonotonicityNot monotonic
2023-08-29T16:16:17.296075image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-19.033 6
 
< 0.1%
-10.964 5
 
< 0.1%
-22.832 5
 
< 0.1%
-14.07 5
 
< 0.1%
-16.722 5
 
< 0.1%
-19.09 5
 
< 0.1%
-17.621 5
 
< 0.1%
-23.687 5
 
< 0.1%
-18.917 5
 
< 0.1%
-18.059 5
 
< 0.1%
Other values (29141) 33942
96.9%
(Missing) 1047
 
3.0%
ValueCountFrequency (%)
-152.4 1
< 0.1%
-135.96 1
< 0.1%
-120.49 1
< 0.1%
-117.79 1
< 0.1%
-115.43 1
< 0.1%
ValueCountFrequency (%)
909.27 1
< 0.1%
897.28 1
< 0.1%
872.21 1
< 0.1%
869.89 1
< 0.1%
869.53 1
< 0.1%

PPFD_IN
Real number (ℝ)

MISSING  ZEROS 

Distinct9362
Distinct (%)27.5%
Missing1047
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean330.411899
Minimum0
Maximum2194
Zeros355
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:17.474633image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004
Q10.031
median8.55
Q3582.5
95-th percentile1396
Maximum2194
Range2194
Interquartile range (IQR)582.469

Descriptive statistics

Standard deviation482.3964315
Coefficient of variation (CV)1.459985046
Kurtosis0.7090216113
Mean330.411899
Median Absolute Deviation (MAD)8.549
Skewness1.366302966
Sum11231691.68
Variance232706.3171
MonotonicityNot monotonic
2023-08-29T16:16:17.644037image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.003 523
 
1.5%
0.004 518
 
1.5%
0.005 440
 
1.3%
0.007 431
 
1.2%
0.008 413
 
1.2%
0.01 372
 
1.1%
0.006 365
 
1.0%
0.009 361
 
1.0%
0 355
 
1.0%
0.011 343
 
1.0%
Other values (9352) 29872
85.3%
(Missing) 1047
 
3.0%
ValueCountFrequency (%)
0 355
1.0%
0.001 342
1.0%
0.002 329
0.9%
0.003 523
1.5%
0.004 518
1.5%
ValueCountFrequency (%)
2194 1
< 0.1%
2127 1
< 0.1%
2097 1
< 0.1%
2072 1
< 0.1%
2050 1
< 0.1%

CO2_F_MDS
Real number (ℝ)

Distinct28581
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean434.2310445
Minimum321.683
Maximum838.597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:17.808681image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum321.683
5-th percentile384.54885
Q1413.60125
median429.09
Q3453.9675
95-th percentile492.60335
Maximum838.597
Range516.914
Interquartile range (IQR)40.36625

Descriptive statistics

Standard deviation33.19044293
Coefficient of variation (CV)0.07643498397
Kurtosis4.560536524
Mean434.2310445
Median Absolute Deviation (MAD)19.3645
Skewness1.072499158
Sum15215455.8
Variance1101.605502
MonotonicityNot monotonic
2023-08-29T16:16:17.995654image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
426.082 163
 
0.5%
421.601 75
 
0.2%
417.119 67
 
0.2%
418.198 58
 
0.2%
425.222 39
 
0.1%
424.864 30
 
0.1%
421.129 21
 
0.1%
420.403 18
 
0.1%
411.726 17
 
< 0.1%
457.838 16
 
< 0.1%
Other values (28571) 34536
98.6%
ValueCountFrequency (%)
321.683 1
< 0.1%
346.255 1
< 0.1%
357.237 1
< 0.1%
364.323 1
< 0.1%
365.376 1
< 0.1%
ValueCountFrequency (%)
838.597 1
< 0.1%
811.655 1
< 0.1%
773.951 1
< 0.1%
758.623 1
< 0.1%
754.613 1
< 0.1%

CO2_F_MDS_QC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3378424658
Minimum0
Maximum3
Zeros26413
Zeros (%)75.4%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:18.131743image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6717784653
Coefficient of variation (CV)1.988437018
Kurtosis4.452422065
Mean0.3378424658
Median Absolute Deviation (MAD)0
Skewness2.168930182
Sum11838
Variance0.4512863064
MonotonicityNot monotonic
2023-08-29T16:16:18.238758image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 26413
75.4%
1 6192
 
17.7%
2 1659
 
4.7%
3 776
 
2.2%
ValueCountFrequency (%)
0 26413
75.4%
1 6192
 
17.7%
2 1659
 
4.7%
3 776
 
2.2%
ValueCountFrequency (%)
3 776
 
2.2%
2 1659
 
4.7%
1 6192
 
17.7%
0 26413
75.4%

TS_F_MDS_1
Real number (ℝ)

Distinct4529
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.21850782
Minimum20.19
Maximum28.167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:18.396752image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum20.19
5-th percentile23.961
Q124.589
median25.094
Q325.836
95-th percentile26.83705
Maximum28.167
Range7.977
Interquartile range (IQR)1.247

Descriptive statistics

Standard deviation0.9098033758
Coefficient of variation (CV)0.03607681241
Kurtosis0.4408681716
Mean25.21850782
Median Absolute Deviation (MAD)0.5975
Skewness0.1477095312
Sum883656.514
Variance0.8277421827
MonotonicityNot monotonic
2023-08-29T16:16:18.734273image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.863 29
 
0.1%
24.759 28
 
0.1%
24.829 28
 
0.1%
24.767 28
 
0.1%
24.822 28
 
0.1%
24.8 27
 
0.1%
24.764 27
 
0.1%
24.706 27
 
0.1%
24.824 26
 
0.1%
24.558 26
 
0.1%
Other values (4519) 34766
99.2%
ValueCountFrequency (%)
20.19 1
< 0.1%
20.231 1
< 0.1%
20.271 1
< 0.1%
20.295 1
< 0.1%
20.401 1
< 0.1%
ValueCountFrequency (%)
28.167 1
 
< 0.1%
28.132 1
 
< 0.1%
28.121 1
 
< 0.1%
28.116 3
< 0.1%
28.097 1
 
< 0.1%

TS_F_MDS_1_QC
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros35040
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:18.885400image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-08-29T16:16:18.989101image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 35040
100.0%
ValueCountFrequency (%)
0 35040
100.0%
ValueCountFrequency (%)
0 35040
100.0%

G_F_MDS
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

G_F_MDS_QC
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

LE_F_MDS
Real number (ℝ)

Distinct30957
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.63756464
Minimum-890.726
Maximum830.368
Zeros0
Zeros (%)0.0%
Negative3710
Negative (%)10.6%
Memory size273.9 KiB
2023-08-29T16:16:19.127901image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-890.726
5-th percentile-2.6288525
Q13.3942525
median11.4519
Q3143.134
95-th percentile316.453
Maximum830.368
Range1721.094
Interquartile range (IQR)139.7397475

Descriptive statistics

Standard deviation113.048616
Coefficient of variation (CV)1.419538838
Kurtosis1.384266555
Mean79.63756464
Median Absolute Deviation (MAD)12.930035
Skewness1.351647304
Sum2790500.265
Variance12779.98958
MonotonicityNot monotonic
2023-08-29T16:16:19.290994image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.1706 46
 
0.1%
55.1871 40
 
0.1%
1.78686 34
 
0.1%
110.997 32
 
0.1%
2.95633 31
 
0.1%
0.997849 30
 
0.1%
59.0961 24
 
0.1%
3.37933 21
 
0.1%
0.935616 19
 
0.1%
95.9957 19
 
0.1%
Other values (30947) 34744
99.2%
ValueCountFrequency (%)
-890.726 1
< 0.1%
-494.091 1
< 0.1%
-449.292 1
< 0.1%
-372.329 1
< 0.1%
-348.285 1
< 0.1%
ValueCountFrequency (%)
830.368 1
< 0.1%
718.51 1
< 0.1%
658.975 1
< 0.1%
651.613 1
< 0.1%
648.057 1
< 0.1%

LE_F_MDS_QC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7984303653
Minimum0
Maximum3
Zeros12387
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:19.431506image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7258250008
Coefficient of variation (CV)0.9090648758
Kurtosis0.820286283
Mean0.7984303653
Median Absolute Deviation (MAD)0
Skewness0.813772005
Sum27977
Variance0.5268219318
MonotonicityNot monotonic
2023-08-29T16:16:19.536743image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 18415
52.6%
0 12387
35.4%
2 3152
 
9.0%
3 1086
 
3.1%
ValueCountFrequency (%)
0 12387
35.4%
1 18415
52.6%
2 3152
 
9.0%
3 1086
 
3.1%
ValueCountFrequency (%)
3 1086
 
3.1%
2 3152
 
9.0%
1 18415
52.6%
0 12387
35.4%

LE_CORR
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

LE_CORR_25
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

LE_CORR_75
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

LE_RANDUNC
Real number (ℝ)

Distinct12264
Distinct (%)37.6%
Missing2380
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean32.50189769
Minimum1.40815
Maximum263.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:19.695948image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.40815
5-th percentile8.216
Q113.9144
median22.2906
Q348.7156
95-th percentile77.8416
Maximum263.74
Range262.33185
Interquartile range (IQR)34.8012

Descriptive statistics

Standard deviation24.80476722
Coefficient of variation (CV)0.7631790443
Kurtosis3.330447455
Mean32.50189769
Median Absolute Deviation (MAD)12.0052
Skewness1.484008799
Sum1061511.979
Variance615.2764767
MonotonicityNot monotonic
2023-08-29T16:16:19.873539image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46.7195 119
 
0.3%
111.789 99
 
0.3%
10.2574 98
 
0.3%
76.6708 78
 
0.2%
34.2958 66
 
0.2%
15.0626 62
 
0.2%
84.9101 55
 
0.2%
21.4598 53
 
0.2%
12.5859 51
 
0.1%
81.2732 50
 
0.1%
Other values (12254) 31929
91.1%
(Missing) 2380
 
6.8%
ValueCountFrequency (%)
1.40815 1
< 0.1%
1.65649 1
< 0.1%
2.00331 1
< 0.1%
2.09284 1
< 0.1%
2.22207 1
< 0.1%
ValueCountFrequency (%)
263.74 1
< 0.1%
238.202 1
< 0.1%
237.953 1
< 0.1%
228.792 1
< 0.1%
199.482 1
< 0.1%

LE_RANDUNC_METHOD
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing2380
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean1.722137171
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:20.013169image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4479522533
Coefficient of variation (CV)0.260114154
Kurtosis-1.016295343
Mean1.722137171
Median Absolute Deviation (MAD)0
Skewness-0.9918502387
Sum56245
Variance0.2006612213
MonotonicityNot monotonic
2023-08-29T16:16:20.121234image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 23585
67.3%
1 9075
 
25.9%
(Missing) 2380
 
6.8%
ValueCountFrequency (%)
1 9075
 
25.9%
2 23585
67.3%
ValueCountFrequency (%)
2 23585
67.3%
1 9075
 
25.9%

LE_RANDUNC_N
Real number (ℝ)

Distinct348
Distinct (%)1.1%
Missing2380
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean78.24252909
Minimum1
Maximum349
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:20.269633image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median25
Q3141.25
95-th percentile276
Maximum349
Range348
Interquartile range (IQR)130.25

Descriptive statistics

Standard deviation96.29068021
Coefficient of variation (CV)1.230669322
Kurtosis-0.1368224764
Mean78.24252909
Median Absolute Deviation (MAD)18
Skewness1.180305978
Sum2555401
Variance9271.895096
MonotonicityNot monotonic
2023-08-29T16:16:20.439155image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 1122
 
3.2%
9 973
 
2.8%
8 973
 
2.8%
11 963
 
2.7%
10 932
 
2.7%
7 918
 
2.6%
12 843
 
2.4%
13 770
 
2.2%
14 766
 
2.2%
15 680
 
1.9%
Other values (338) 23720
67.7%
(Missing) 2380
 
6.8%
ValueCountFrequency (%)
1 613
1.7%
2 563
1.6%
3 544
1.6%
4 538
1.5%
5 466
1.3%
ValueCountFrequency (%)
349 1
 
< 0.1%
347 1
 
< 0.1%
346 2
 
< 0.1%
345 1
 
< 0.1%
344 6
< 0.1%

LE_CORR_JOINTUNC
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

H_F_MDS
Real number (ℝ)

Distinct31357
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.44138792
Minimum-67.5852
Maximum233.211
Zeros0
Zeros (%)0.0%
Negative19514
Negative (%)55.7%
Memory size273.9 KiB
2023-08-29T16:16:20.618500image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-67.5852
5-th percentile-7.7171515
Q1-3.2009475
median-1.019835
Q321.7344
95-th percentile85.82377
Maximum233.211
Range300.7962
Interquartile range (IQR)24.9353475

Descriptive statistics

Standard deviation31.40959497
Coefficient of variation (CV)2.174970657
Kurtosis3.78588157
Mean14.44138792
Median Absolute Deviation (MAD)3.643925
Skewness1.964993126
Sum506026.2328
Variance986.5626561
MonotonicityNot monotonic
2023-08-29T16:16:20.780808image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.10108 34
 
0.1%
2.02778 34
 
0.1%
-12.1429 32
 
0.1%
-3.91578 31
 
0.1%
-1.95131 27
 
0.1%
-7.68574 24
 
0.1%
-5.96818 22
 
0.1%
-3.88611 21
 
0.1%
98.1487 21
 
0.1%
14.4101 19
 
0.1%
Other values (31347) 34775
99.2%
ValueCountFrequency (%)
-67.5852 1
< 0.1%
-62.0882 1
< 0.1%
-59.145 1
< 0.1%
-58.2684 1
< 0.1%
-57.1396 1
< 0.1%
ValueCountFrequency (%)
233.211 1
< 0.1%
206.889 2
< 0.1%
204.781 1
< 0.1%
203.388 1
< 0.1%
198.956 2
< 0.1%

H_F_MDS_QC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7865296804
Minimum0
Maximum3
Zeros13171
Zeros (%)37.6%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:20.918945image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.746104776
Coefficient of variation (CV)0.9486034598
Kurtosis0.6331070659
Mean0.7865296804
Median Absolute Deviation (MAD)1
Skewness0.8295855321
Sum27560
Variance0.5566723368
MonotonicityNot monotonic
2023-08-29T16:16:21.025269image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 17298
49.4%
0 13171
37.6%
2 3451
 
9.8%
3 1120
 
3.2%
ValueCountFrequency (%)
0 13171
37.6%
1 17298
49.4%
2 3451
 
9.8%
3 1120
 
3.2%
ValueCountFrequency (%)
3 1120
 
3.2%
2 3451
 
9.8%
1 17298
49.4%
0 13171
37.6%

H_CORR
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

H_CORR_25
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

H_CORR_75
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

H_RANDUNC
Real number (ℝ)

Distinct12935
Distinct (%)40.3%
Missing2942
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean8.693025581
Minimum0.622035
Maximum49.2289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:21.182337image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.622035
5-th percentile3.74376
Q14.98248
median6.10706
Q310.6183
95-th percentile22.218
Maximum49.2289
Range48.606865
Interquartile range (IQR)5.63582

Descriptive statistics

Standard deviation6.036888954
Coefficient of variation (CV)0.6944519946
Kurtosis3.898668265
Mean8.693025581
Median Absolute Deviation (MAD)1.42282
Skewness1.952606111
Sum279028.7351
Variance36.44402824
MonotonicityNot monotonic
2023-08-29T16:16:21.367348image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.5186 117
 
0.3%
6.41328 78
 
0.2%
4.71539 72
 
0.2%
21.0343 69
 
0.2%
6.46527 66
 
0.2%
18.0596 64
 
0.2%
5.92131 64
 
0.2%
6.01695 59
 
0.2%
13.1415 58
 
0.2%
6.43927 58
 
0.2%
Other values (12925) 31393
89.6%
(Missing) 2942
 
8.4%
ValueCountFrequency (%)
0.622035 1
< 0.1%
1.4266 1
< 0.1%
1.46335 1
< 0.1%
1.48636 1
< 0.1%
1.52146 1
< 0.1%
ValueCountFrequency (%)
49.2289 1
 
< 0.1%
49.0374 1
 
< 0.1%
48.7205 1
 
< 0.1%
47.3117 1
 
< 0.1%
45.7192 9
< 0.1%

H_RANDUNC_METHOD
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing2942
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean1.685463269
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:21.510782image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4643383391
Coefficient of variation (CV)0.2754959706
Kurtosis-1.361878915
Mean1.685463269
Median Absolute Deviation (MAD)0
Skewness-0.7988779297
Sum54100
Variance0.2156100932
MonotonicityNot monotonic
2023-08-29T16:16:21.621458image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 22002
62.8%
1 10096
28.8%
(Missing) 2942
 
8.4%
ValueCountFrequency (%)
1 10096
28.8%
2 22002
62.8%
ValueCountFrequency (%)
2 22002
62.8%
1 10096
28.8%

H_RANDUNC_N
Real number (ℝ)

Distinct477
Distinct (%)1.5%
Missing2942
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean143.4505888
Minimum1
Maximum478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:21.776903image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q114
median39
Q3304.75
95-th percentile411
Maximum478
Range477
Interquartile range (IQR)290.75

Descriptive statistics

Standard deviation156.8200393
Coefficient of variation (CV)1.093198993
Kurtosis-1.267186779
Mean143.4505888
Median Absolute Deviation (MAD)34
Skewness0.6595361321
Sum4604477
Variance24592.52473
MonotonicityNot monotonic
2023-08-29T16:16:21.967854image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 890
 
2.5%
1 830
 
2.4%
7 756
 
2.2%
8 647
 
1.8%
3 603
 
1.7%
9 601
 
1.7%
5 591
 
1.7%
4 524
 
1.5%
10 499
 
1.4%
2 491
 
1.4%
Other values (467) 25666
73.2%
(Missing) 2942
 
8.4%
ValueCountFrequency (%)
1 830
2.4%
2 491
1.4%
3 603
1.7%
4 524
1.5%
5 591
1.7%
ValueCountFrequency (%)
478 1
 
< 0.1%
477 9
< 0.1%
476 9
< 0.1%
475 6
< 0.1%
474 1
 
< 0.1%

H_CORR_JOINTUNC
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

EBC_CF_N
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

EBC_CF_METHOD
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

NIGHT
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4820490868
Minimum0
Maximum1
Zeros18149
Zeros (%)51.8%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:22.307746image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4996847911
Coefficient of variation (CV)1.036584872
Kurtosis-1.99495101
Mean0.4820490868
Median Absolute Deviation (MAD)0
Skewness0.07185304903
Sum16891
Variance0.2496848904
MonotonicityNot monotonic
2023-08-29T16:16:22.418572image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 18149
51.8%
1 16891
48.2%
ValueCountFrequency (%)
0 18149
51.8%
1 16891
48.2%
ValueCountFrequency (%)
1 16891
48.2%
0 18149
51.8%

NEE_VUT_REF
Real number (ℝ)

Distinct27091
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.40519435
Minimum-63.9222
Maximum49.8239
Zeros0
Zeros (%)0.0%
Negative14136
Negative (%)40.3%
Memory size273.9 KiB
2023-08-29T16:16:22.571451image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-63.9222
5-th percentile-24.400805
Q1-11.166225
median4.726465
Q37.5331825
95-th percentile10.85565
Maximum49.8239
Range113.7461
Interquartile range (IQR)18.6994075

Descriptive statistics

Standard deviation12.3995013
Coefficient of variation (CV)-8.824047219
Kurtosis-0.04673669015
Mean-1.40519435
Median Absolute Deviation (MAD)4.83023
Skewness-0.7553191428
Sum-49238.01003
Variance153.7476324
MonotonicityNot monotonic
2023-08-29T16:16:22.741189image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0587 158
 
0.5%
11.0159 85
 
0.2%
3.16303 84
 
0.2%
7.9567 82
 
0.2%
10.6123 55
 
0.2%
16.8169 49
 
0.1%
3.50768 43
 
0.1%
7.35111 40
 
0.1%
7.79862 38
 
0.1%
2.64543 36
 
0.1%
Other values (27081) 34370
98.1%
ValueCountFrequency (%)
-63.9222 1
< 0.1%
-63.6231 1
< 0.1%
-62.4675 1
< 0.1%
-54.0633 1
< 0.1%
-53.8968 1
< 0.1%
ValueCountFrequency (%)
49.8239 1
< 0.1%
49.756 1
< 0.1%
47.5369 1
< 0.1%
47.4447 1
< 0.1%
45.7582 1
< 0.1%

NEE_VUT_REF_QC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9057077626
Minimum0
Maximum3
Zeros8596
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:22.874960image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6732179179
Coefficient of variation (CV)0.7433058937
Kurtosis1.478848216
Mean0.9057077626
Median Absolute Deviation (MAD)0
Skewness0.7604569166
Sum31736
Variance0.453222365
MonotonicityNot monotonic
2023-08-29T16:16:22.976701image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 22304
63.7%
0 8596
 
24.5%
2 2988
 
8.5%
3 1152
 
3.3%
ValueCountFrequency (%)
0 8596
 
24.5%
1 22304
63.7%
2 2988
 
8.5%
3 1152
 
3.3%
ValueCountFrequency (%)
3 1152
 
3.3%
2 2988
 
8.5%
1 22304
63.7%
0 8596
 
24.5%

NEE_VUT_REF_RANDUNC
Real number (ℝ)

Distinct7746
Distinct (%)23.6%
Missing2238
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean7.654539007
Minimum0.947506
Maximum29.8705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:23.130143image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.947506
5-th percentile3.90561
Q16.19765
median7.63599
Q38.90152
95-th percentile11.385085
Maximum29.8705
Range28.922994
Interquartile range (IQR)2.70387

Descriptive statistics

Standard deviation2.345897461
Coefficient of variation (CV)0.3064714228
Kurtosis3.417225286
Mean7.654539007
Median Absolute Deviation (MAD)1.368835
Skewness0.8971817454
Sum251084.1885
Variance5.503234896
MonotonicityNot monotonic
2023-08-29T16:16:23.299375image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.66702 273
 
0.8%
3.62037 260
 
0.7%
7.00027 159
 
0.5%
6.39672 107
 
0.3%
6.55233 94
 
0.3%
6.21042 91
 
0.3%
7.7667 89
 
0.3%
7.31387 88
 
0.3%
10.046 79
 
0.2%
7.15731 76
 
0.2%
Other values (7736) 31486
89.9%
(Missing) 2238
 
6.4%
ValueCountFrequency (%)
0.947506 1
< 0.1%
1.0592 1
< 0.1%
1.16206 1
< 0.1%
1.24625 1
< 0.1%
1.26698 1
< 0.1%
ValueCountFrequency (%)
29.8705 1
< 0.1%
28.1677 1
< 0.1%
25.721 1
< 0.1%
24.8456 1
< 0.1%
24.3903 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing2238
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean1.848759222
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:23.438961image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3582888759
Coefficient of variation (CV)0.1937996423
Kurtosis1.790619673
Mean1.848759222
Median Absolute Deviation (MAD)0
Skewness-1.946923342
Sum60643
Variance0.1283709186
MonotonicityNot monotonic
2023-08-29T16:16:23.549333image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 27841
79.5%
1 4961
 
14.2%
(Missing) 2238
 
6.4%
ValueCountFrequency (%)
1 4961
 
14.2%
2 27841
79.5%
ValueCountFrequency (%)
2 27841
79.5%
1 4961
 
14.2%

NEE_VUT_REF_RANDUNC_N
Real number (ℝ)

Distinct77
Distinct (%)0.2%
Missing2238
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean23.85735626
Minimum1
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:23.705458image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q110
median19.5
Q334
95-th percentile58
Maximum77
Range76
Interquartile range (IQR)24

Descriptive statistics

Standard deviation16.69172695
Coefficient of variation (CV)0.6996469672
Kurtosis-0.2687655957
Mean23.85735626
Median Absolute Deviation (MAD)11.5
Skewness0.7881803814
Sum782569
Variance278.6137487
MonotonicityNot monotonic
2023-08-29T16:16:23.880797image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 1331
 
3.8%
7 1228
 
3.5%
8 1137
 
3.2%
9 1105
 
3.2%
10 1069
 
3.1%
11 1034
 
3.0%
12 986
 
2.8%
14 958
 
2.7%
13 905
 
2.6%
16 863
 
2.5%
Other values (67) 22186
63.3%
(Missing) 2238
 
6.4%
ValueCountFrequency (%)
1 445
1.3%
2 296
0.8%
3 622
1.8%
4 733
2.1%
5 604
1.7%
ValueCountFrequency (%)
77 3
 
< 0.1%
76 12
< 0.1%
75 12
< 0.1%
74 7
 
< 0.1%
73 24
0.1%

NEE_VUT_REF_JOINTUNC
Real number (ℝ)

Distinct24389
Distinct (%)74.4%
Missing2238
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean7.971066286
Minimum0.947506
Maximum36.9204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:24.067086image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.947506
5-th percentile4.1509925
Q16.3598725
median7.84163
Q39.204115
95-th percentile12.355745
Maximum36.9204
Range35.972894
Interquartile range (IQR)2.8442425

Descriptive statistics

Standard deviation2.654119406
Coefficient of variation (CV)0.3329691802
Kurtosis6.675138745
Mean7.971066286
Median Absolute Deviation (MAD)1.4219
Skewness1.522689941
Sum261466.9163
Variance7.044349823
MonotonicityNot monotonic
2023-08-29T16:16:24.232203image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.14018 57
 
0.2%
4.06086 56
 
0.2%
7.15731 50
 
0.1%
7.86989 38
 
0.1%
5.16634 36
 
0.1%
5.69172 35
 
0.1%
2.45129 30
 
0.1%
7.80265 26
 
0.1%
5.90787 25
 
0.1%
8.13616 24
 
0.1%
Other values (24379) 32425
92.5%
(Missing) 2238
 
6.4%
ValueCountFrequency (%)
0.947506 1
< 0.1%
1.0592 1
< 0.1%
1.16206 1
< 0.1%
1.24625 1
< 0.1%
1.44377 1
< 0.1%
ValueCountFrequency (%)
36.9204 1
< 0.1%
35.6016 1
< 0.1%
31.4074 1
< 0.1%
30.9955 1
< 0.1%
30.3399 1
< 0.1%

NEE_VUT_USTAR50
Real number (ℝ)

Distinct26762
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.357754332
Minimum-63.9222
Maximum49.8239
Zeros0
Zeros (%)0.0%
Negative14094
Negative (%)40.2%
Memory size273.9 KiB
2023-08-29T16:16:24.407696image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-63.9222
5-th percentile-24.393235
Q1-11.149025
median4.820795
Q37.65359
95-th percentile10.884
Maximum49.8239
Range113.7461
Interquartile range (IQR)18.802615

Descriptive statistics

Standard deviation12.41487371
Coefficient of variation (CV)-9.143681898
Kurtosis-0.06351117609
Mean-1.357754332
Median Absolute Deviation (MAD)4.88341
Skewness-0.7641783747
Sum-47575.7118
Variance154.1290892
MonotonicityNot monotonic
2023-08-29T16:16:24.580400image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.2522 159
 
0.5%
11.3373 85
 
0.2%
1.95564 84
 
0.2%
8.49762 82
 
0.2%
10.8742 55
 
0.2%
16.8169 49
 
0.1%
5.89053 46
 
0.1%
3.50768 43
 
0.1%
7.35111 40
 
0.1%
1.52426 36
 
0.1%
Other values (26752) 34361
98.1%
ValueCountFrequency (%)
-63.9222 1
< 0.1%
-63.6231 1
< 0.1%
-62.4675 1
< 0.1%
-54.0633 1
< 0.1%
-53.8968 1
< 0.1%
ValueCountFrequency (%)
49.8239 1
< 0.1%
49.756 1
< 0.1%
47.5369 1
< 0.1%
47.4447 1
< 0.1%
45.7582 1
< 0.1%

NEE_VUT_USTAR50_QC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9127853881
Minimum0
Maximum3
Zeros8366
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:24.720736image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6700099046
Coefficient of variation (CV)0.7340278595
Kurtosis1.53261487
Mean0.9127853881
Median Absolute Deviation (MAD)0
Skewness0.7631936928
Sum31984
Variance0.4489132722
MonotonicityNot monotonic
2023-08-29T16:16:24.822874image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 22524
64.3%
0 8366
 
23.9%
2 2990
 
8.5%
3 1160
 
3.3%
ValueCountFrequency (%)
0 8366
 
23.9%
1 22524
64.3%
2 2990
 
8.5%
3 1160
 
3.3%
ValueCountFrequency (%)
3 1160
 
3.3%
2 2990
 
8.5%
1 22524
64.3%
0 8366
 
23.9%

NEE_VUT_USTAR50_RANDUNC
Real number (ℝ)

Distinct7417
Distinct (%)22.6%
Missing2214
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean7.506955272
Minimum0.947506
Maximum28.4736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:24.974314image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.947506
5-th percentile3.85993
Q16.0691375
median7.48719
Q38.74529
95-th percentile11.1562
Maximum28.4736
Range27.526094
Interquartile range (IQR)2.6761525

Descriptive statistics

Standard deviation2.314329949
Coefficient of variation (CV)0.3082914265
Kurtosis3.676999563
Mean7.506955272
Median Absolute Deviation (MAD)1.35458
Skewness0.8600327599
Sum246423.3137
Variance5.356123115
MonotonicityNot monotonic
2023-08-29T16:16:25.131423image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.62037 241
 
0.7%
7.00027 185
 
0.5%
2.59896 179
 
0.5%
2.47651 164
 
0.5%
6.55233 126
 
0.4%
6.39672 104
 
0.3%
7.75513 100
 
0.3%
5.8914 91
 
0.3%
8.40194 88
 
0.3%
9.43283 84
 
0.2%
Other values (7407) 31464
89.8%
(Missing) 2214
 
6.3%
ValueCountFrequency (%)
0.947506 1
< 0.1%
1.0592 1
< 0.1%
1.16206 1
< 0.1%
1.24625 1
< 0.1%
1.26698 1
< 0.1%
ValueCountFrequency (%)
28.4736 1
< 0.1%
28.1677 1
< 0.1%
26.0556 1
< 0.1%
25.721 1
< 0.1%
25.2914 2
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing2214
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean1.856668494
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:25.265195image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3504159324
Coefficient of variation (CV)0.1887337096
Kurtosis2.144655273
Mean1.856668494
Median Absolute Deviation (MAD)0
Skewness-2.035810553
Sum60947
Variance0.1227913257
MonotonicityNot monotonic
2023-08-29T16:16:25.374142image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 28121
80.3%
1 4705
 
13.4%
(Missing) 2214
 
6.3%
ValueCountFrequency (%)
1 4705
 
13.4%
2 28121
80.3%
ValueCountFrequency (%)
2 28121
80.3%
1 4705
 
13.4%

NEE_VUT_USTAR50_RANDUNC_N
Real number (ℝ)

Distinct75
Distinct (%)0.2%
Missing2214
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean22.80619022
Minimum1
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:25.522342image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q110
median19
Q332
95-th percentile55
Maximum75
Range74
Interquartile range (IQR)22

Descriptive statistics

Standard deviation15.81685642
Coefficient of variation (CV)0.6935334779
Kurtosis-0.2728132629
Mean22.80619022
Median Absolute Deviation (MAD)11
Skewness0.7714439291
Sum748636
Variance250.1729469
MonotonicityNot monotonic
2023-08-29T16:16:25.868010image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 1305
 
3.7%
6 1264
 
3.6%
9 1156
 
3.3%
8 1115
 
3.2%
10 1073
 
3.1%
11 1062
 
3.0%
13 978
 
2.8%
14 919
 
2.6%
12 912
 
2.6%
16 899
 
2.6%
Other values (65) 22143
63.2%
(Missing) 2214
 
6.3%
ValueCountFrequency (%)
1 576
1.6%
2 457
1.3%
3 764
2.2%
4 606
1.7%
5 570
1.6%
ValueCountFrequency (%)
75 1
 
< 0.1%
74 4
 
< 0.1%
73 7
< 0.1%
72 6
< 0.1%
71 13
< 0.1%

NEE_VUT_USTAR50_JOINTUNC
Real number (ℝ)

Distinct24308
Distinct (%)74.1%
Missing2214
Missing (%)6.3%
Infinite0
Infinite (%)0.0%
Mean7.830751122
Minimum0.947506
Maximum36.9204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:26.049412image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.947506
5-th percentile4.1020525
Q16.2379525
median7.70813
Q39.05549
95-th percentile11.9876
Maximum36.9204
Range35.972894
Interquartile range (IQR)2.8175375

Descriptive statistics

Standard deviation2.621594105
Coefficient of variation (CV)0.3347819468
Kurtosis6.987398597
Mean7.830751122
Median Absolute Deviation (MAD)1.409315
Skewness1.513689884
Sum257052.2363
Variance6.872755653
MonotonicityNot monotonic
2023-08-29T16:16:26.218446image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.14018 57
 
0.2%
3.0293 56
 
0.2%
7.15731 50
 
0.1%
7.86989 38
 
0.1%
5.16634 36
 
0.1%
5.69172 35
 
0.1%
2.45129 30
 
0.1%
5.89556 26
 
0.1%
7.80265 26
 
0.1%
5.90787 25
 
0.1%
Other values (24298) 32447
92.6%
(Missing) 2214
 
6.3%
ValueCountFrequency (%)
0.947506 1
< 0.1%
1.0592 1
< 0.1%
1.16206 1
< 0.1%
1.24625 1
< 0.1%
1.44377 1
< 0.1%
ValueCountFrequency (%)
36.9204 1
< 0.1%
36.784 1
< 0.1%
31.9596 1
< 0.1%
31.4074 1
< 0.1%
30.8966 1
< 0.1%

NEE_VUT_MEAN
Real number (ℝ)

Distinct31105
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.386130202
Minimum-63.9222
Maximum40.9563
Zeros0
Zeros (%)0.0%
Negative14002
Negative (%)40.0%
Memory size273.9 KiB
2023-08-29T16:16:26.397395image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-63.9222
5-th percentile-24.253255
Q1-11.181475
median4.616495
Q37.67498
95-th percentile10.850615
Maximum40.9563
Range104.8785
Interquartile range (IQR)18.856455

Descriptive statistics

Standard deviation12.23404067
Coefficient of variation (CV)-8.82604004
Kurtosis-0.1915738743
Mean-1.386130202
Median Absolute Deviation (MAD)4.882005
Skewness-0.8331190202
Sum-48570.00229
Variance149.671751
MonotonicityNot monotonic
2023-08-29T16:16:26.573292image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.5846 60
 
0.2%
11.5219 47
 
0.1%
8.6758 43
 
0.1%
12.3951 32
 
0.1%
10.6485 29
 
0.1%
10.5604 26
 
0.1%
16.8826 25
 
0.1%
8.56942 21
 
0.1%
8.43975 16
 
< 0.1%
6.80251 16
 
< 0.1%
Other values (31095) 34725
99.1%
ValueCountFrequency (%)
-63.9222 1
< 0.1%
-63.6231 1
< 0.1%
-62.4675 1
< 0.1%
-53.0654 1
< 0.1%
-50.9873 1
< 0.1%
ValueCountFrequency (%)
40.9563 1
< 0.1%
40.293 1
< 0.1%
40.1512 1
< 0.1%
37.9057 1
< 0.1%
37.8986 1
< 0.1%

NEE_VUT_MEAN_QC
Real number (ℝ)

Distinct41
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8730087043
Minimum0
Maximum1
Zeros3679
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:26.744722image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3153004586
Coefficient of variation (CV)0.3611653091
Kurtosis3.512551647
Mean0.8730087043
Median Absolute Deviation (MAD)0
Skewness-2.314528918
Sum30590.225
Variance0.09941437919
MonotonicityNot monotonic
2023-08-29T16:16:26.904782image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 26985
77.0%
0 3679
 
10.5%
0.975 1481
 
4.2%
0.95 533
 
1.5%
0.9 310
 
0.9%
0.875 254
 
0.7%
0.925 215
 
0.6%
0.775 203
 
0.6%
0.8 197
 
0.6%
0.725 142
 
0.4%
Other values (31) 1041
 
3.0%
ValueCountFrequency (%)
0 3679
10.5%
0.025 89
 
0.3%
0.05 23
 
0.1%
0.075 25
 
0.1%
0.1 20
 
0.1%
ValueCountFrequency (%)
1 26985
77.0%
0.975 1481
 
4.2%
0.95 533
 
1.5%
0.925 215
 
0.6%
0.9 310
 
0.9%

NEE_VUT_SE
Real number (ℝ)

Distinct26713
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2526194728
Minimum0
Maximum4.07422
Zeros517
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:27.076935image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.68889 Ă— 10-16
Q10.080158125
median0.1689535
Q30.300634
95-th percentile0.8277408
Maximum4.07422
Range4.07422
Interquartile range (IQR)0.220475875

Descriptive statistics

Standard deviation0.3123220991
Coefficient of variation (CV)1.236334221
Kurtosis18.22178669
Mean0.2526194728
Median Absolute Deviation (MAD)0.1032595
Skewness3.439953075
Sum8851.786329
Variance0.0975450936
MonotonicityNot monotonic
2023-08-29T16:16:27.251673image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.13778 Ă— 10-15555
 
1.6%
5.68889 Ă— 10-16534
 
1.5%
0 517
 
1.5%
1.70667 Ă— 10-15514
 
1.5%
2.27556 Ă— 10-15349
 
1.0%
8.53334 Ă— 10-16297
 
0.8%
2.84445 Ă— 10-16282
 
0.8%
2.84445 Ă— 10-15270
 
0.8%
3.41334 Ă— 10-15207
 
0.6%
1.42222 Ă— 10-15172
 
0.5%
Other values (26703) 31343
89.4%
ValueCountFrequency (%)
0 517
1.5%
5.55556 Ă— 10-191
 
< 0.1%
8.33334 Ă— 10-191
 
< 0.1%
1.66667 Ă— 10-181
 
< 0.1%
2.22222 Ă— 10-181
 
< 0.1%
ValueCountFrequency (%)
4.07422 1
< 0.1%
3.66187 1
< 0.1%
3.60945 1
< 0.1%
3.58057 1
< 0.1%
3.52044 1
< 0.1%

NEE_VUT_05
Real number (ℝ)

Distinct25229
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.778227232
Minimum-63.9222
Maximum40.293
Zeros0
Zeros (%)0.0%
Negative16584
Negative (%)47.3%
Memory size273.9 KiB
2023-08-29T16:16:27.436908image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-63.9222
5-th percentile-25.518195
Q1-13.301
median1.1164
Q35.8812025
95-th percentile8.608888
Maximum40.293
Range104.2152
Interquartile range (IQR)19.1822025

Descriptive statistics

Standard deviation11.8307251
Coefficient of variation (CV)-3.131289987
Kurtosis-0.3278679647
Mean-3.778227232
Median Absolute Deviation (MAD)6.191775
Skewness-0.7838538519
Sum-132389.0822
Variance139.9660564
MonotonicityNot monotonic
2023-08-29T16:16:27.614273image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11.4876 135
 
0.4%
-8.37899 133
 
0.4%
-6.8764 122
 
0.3%
1.90772 108
 
0.3%
9.37095 107
 
0.3%
5.44658 94
 
0.3%
-2.35462 60
 
0.2%
9.43314 57
 
0.2%
7.10712 56
 
0.2%
3.37795 56
 
0.2%
Other values (25219) 34112
97.4%
ValueCountFrequency (%)
-63.9222 1
< 0.1%
-63.6231 1
< 0.1%
-62.4675 1
< 0.1%
-54.0633 1
< 0.1%
-53.8968 1
< 0.1%
ValueCountFrequency (%)
40.293 1
< 0.1%
40.1512 1
< 0.1%
37.8986 1
< 0.1%
36.4116 1
< 0.1%
35.9756 1
< 0.1%

NEE_VUT_16
Real number (ℝ)

Distinct26700
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.831886479
Minimum-63.9222
Maximum40.293
Zeros0
Zeros (%)0.0%
Negative15431
Negative (%)44.0%
Memory size273.9 KiB
2023-08-29T16:16:27.791315image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-63.9222
5-th percentile-24.956935
Q1-12.47675
median2.54759
Q36.553435
95-th percentile9.29626
Maximum40.293
Range104.2152
Interquartile range (IQR)19.030185

Descriptive statistics

Standard deviation11.90939549
Coefficient of variation (CV)-4.205463593
Kurtosis-0.2089729034
Mean-2.831886479
Median Absolute Deviation (MAD)5.425525
Skewness-0.8337519219
Sum-99229.30222
Variance141.8337008
MonotonicityNot monotonic
2023-08-29T16:16:27.970643image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.66727 112
 
0.3%
2.54759 88
 
0.3%
0.54817 84
 
0.2%
-1.60682 76
 
0.2%
7.10712 56
 
0.2%
-8.37899 55
 
0.2%
10.2784 53
 
0.2%
4.59887 45
 
0.1%
10.6664 44
 
0.1%
4.917 43
 
0.1%
Other values (26690) 34384
98.1%
ValueCountFrequency (%)
-63.9222 1
< 0.1%
-63.6231 1
< 0.1%
-62.4675 1
< 0.1%
-54.0633 1
< 0.1%
-53.8968 1
< 0.1%
ValueCountFrequency (%)
40.293 1
< 0.1%
40.1512 1
< 0.1%
39.469 1
< 0.1%
37.8986 1
< 0.1%
36.4116 1
< 0.1%

NEE_VUT_25
Real number (ℝ)

Distinct27609
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.28304976
Minimum-63.9222
Maximum47.5369
Zeros0
Zeros (%)0.0%
Negative14793
Negative (%)42.2%
Memory size273.9 KiB
2023-08-29T16:16:28.151287image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-63.9222
5-th percentile-24.665905
Q1-11.78155
median3.44769
Q36.8766775
95-th percentile9.8551315
Maximum47.5369
Range111.4591
Interquartile range (IQR)18.6582275

Descriptive statistics

Standard deviation12.02341302
Coefficient of variation (CV)-5.266382375
Kurtosis-0.1227983515
Mean-2.28304976
Median Absolute Deviation (MAD)5.058205
Skewness-0.8241916696
Sum-79998.06358
Variance144.5624606
MonotonicityNot monotonic
2023-08-29T16:16:28.491098image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0587 158
 
0.5%
1.95564 84
 
0.2%
11.0159 68
 
0.2%
7.29915 56
 
0.2%
10.5373 55
 
0.2%
3.34569 49
 
0.1%
6.36996 47
 
0.1%
16.8169 47
 
0.1%
3.0464 42
 
0.1%
7.35111 41
 
0.1%
Other values (27599) 34393
98.2%
ValueCountFrequency (%)
-63.9222 1
< 0.1%
-63.6231 1
< 0.1%
-62.4675 1
< 0.1%
-54.0633 1
< 0.1%
-53.8968 1
< 0.1%
ValueCountFrequency (%)
47.5369 1
< 0.1%
47.4447 1
< 0.1%
40.4774 1
< 0.1%
40.293 1
< 0.1%
40.1512 1
< 0.1%

NEE_VUT_50
Real number (ℝ)

Distinct27704
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.392142096
Minimum-63.9222
Maximum49.8239
Zeros0
Zeros (%)0.0%
Negative14082
Negative (%)40.2%
Memory size273.9 KiB
2023-08-29T16:16:28.669001image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-63.9222
5-th percentile-24.400805
Q1-11.138875
median4.7395
Q37.5574575
95-th percentile10.89188
Maximum49.8239
Range113.7461
Interquartile range (IQR)18.6963325

Descriptive statistics

Standard deviation12.37432229
Coefficient of variation (CV)-8.888691985
Kurtosis-0.05537399487
Mean-1.392142096
Median Absolute Deviation (MAD)4.7830255
Skewness-0.7739646712
Sum-48780.65903
Variance153.1238521
MonotonicityNot monotonic
2023-08-29T16:16:28.847899image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.3916 158
 
0.5%
11.5569 85
 
0.2%
8.49762 82
 
0.2%
4.28864 76
 
0.2%
11.056 55
 
0.2%
16.8169 49
 
0.1%
3.50768 43
 
0.1%
7.35111 40
 
0.1%
3.80663 34
 
0.1%
9.31776 33
 
0.1%
Other values (27694) 34385
98.1%
ValueCountFrequency (%)
-63.9222 1
< 0.1%
-63.6231 1
< 0.1%
-62.4675 1
< 0.1%
-54.0633 1
< 0.1%
-53.8968 1
< 0.1%
ValueCountFrequency (%)
49.8239 1
< 0.1%
49.756 1
< 0.1%
47.5369 1
< 0.1%
47.4447 1
< 0.1%
45.7582 1
< 0.1%

NEE_VUT_75
Real number (ℝ)

Distinct26170
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5723853073
Minimum-63.9222
Maximum49.8239
Zeros0
Zeros (%)0.0%
Negative13517
Negative (%)38.6%
Memory size273.9 KiB
2023-08-29T16:16:29.021176image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-63.9222
5-th percentile-24.2135
Q1-10.708725
median5.7569
Q38.35412
95-th percentile12.150025
Maximum49.8239
Range113.7461
Interquartile range (IQR)19.062845

Descriptive statistics

Standard deviation12.72152139
Coefficient of variation (CV)-22.22545064
Kurtosis-0.09876163191
Mean-0.5723853073
Median Absolute Deviation (MAD)4.7672
Skewness-0.7656092432
Sum-20056.38117
Variance161.8371066
MonotonicityNot monotonic
2023-08-29T16:16:29.197028image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.9651 161
 
0.5%
10.1358 121
 
0.3%
12.7359 85
 
0.2%
8.96642 75
 
0.2%
12.0562 55
 
0.2%
7.35111 49
 
0.1%
19.8882 49
 
0.1%
10.5963 47
 
0.1%
9.01127 38
 
0.1%
3.50768 38
 
0.1%
Other values (26160) 34322
98.0%
ValueCountFrequency (%)
-63.9222 1
< 0.1%
-63.6231 1
< 0.1%
-62.4675 1
< 0.1%
-54.0633 1
< 0.1%
-53.8968 1
< 0.1%
ValueCountFrequency (%)
49.8239 1
< 0.1%
49.756 1
< 0.1%
47.5369 1
< 0.1%
47.4447 1
< 0.1%
45.7582 1
< 0.1%

NEE_VUT_84
Real number (ℝ)

Distinct24599
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05863257435
Minimum-63.9222
Maximum49.8239
Zeros0
Zeros (%)0.0%
Negative13257
Negative (%)37.8%
Memory size273.9 KiB
2023-08-29T16:16:29.370494image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-63.9222
5-th percentile-23.983915
Q1-10.42465
median6.28246
Q39.01743
95-th percentile12.8992
Maximum49.8239
Range113.7461
Interquartile range (IQR)19.44208

Descriptive statistics

Standard deviation12.88406149
Coefficient of variation (CV)-219.7423809
Kurtosis-0.1367543712
Mean-0.05863257435
Median Absolute Deviation (MAD)4.79934
Skewness-0.758774181
Sum-2054.485405
Variance165.9990404
MonotonicityNot monotonic
2023-08-29T16:16:29.541707image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.5963 124
 
0.4%
11.2047 111
 
0.3%
14.6721 94
 
0.3%
12.2973 56
 
0.2%
8.0553 52
 
0.1%
7.35111 50
 
0.1%
8.4128 49
 
0.1%
22.4845 49
 
0.1%
10.6187 49
 
0.1%
11.3554 48
 
0.1%
Other values (24589) 34358
98.1%
ValueCountFrequency (%)
-63.9222 1
< 0.1%
-63.6231 1
< 0.1%
-62.4675 1
< 0.1%
-53.8968 1
< 0.1%
-50.9873 1
< 0.1%
ValueCountFrequency (%)
49.8239 1
< 0.1%
49.756 1
< 0.1%
47.5369 1
< 0.1%
47.4447 1
< 0.1%
45.7582 1
< 0.1%

NEE_VUT_95
Real number (ℝ)

Distinct22945
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5822303399
Minimum-63.9222
Maximum49.8239
Zeros0
Zeros (%)0.0%
Negative13078
Negative (%)37.3%
Memory size273.9 KiB
2023-08-29T16:16:29.714303image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-63.9222
5-th percentile-23.610585
Q1-9.9547875
median6.88887
Q39.83857
95-th percentile14.434
Maximum49.8239
Range113.7461
Interquartile range (IQR)19.7933575

Descriptive statistics

Standard deviation13.08967191
Coefficient of variation (CV)22.48194746
Kurtosis-0.1970702126
Mean0.5822303399
Median Absolute Deviation (MAD)5.09333
Skewness-0.7394381978
Sum20401.35111
Variance171.3395108
MonotonicityNot monotonic
2023-08-29T16:16:29.888637image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.8467 178
 
0.5%
11.7671 167
 
0.5%
17.3674 94
 
0.3%
6.60495 69
 
0.2%
8.96642 64
 
0.2%
14.434 64
 
0.2%
13.417 63
 
0.2%
22.4845 57
 
0.2%
7.99505 55
 
0.2%
8.37284 53
 
0.2%
Other values (22935) 34176
97.5%
ValueCountFrequency (%)
-63.9222 1
< 0.1%
-63.6231 1
< 0.1%
-62.4675 1
< 0.1%
-53.8968 1
< 0.1%
-50.9873 1
< 0.1%
ValueCountFrequency (%)
49.8239 1
< 0.1%
49.756 1
< 0.1%
47.5369 1
< 0.1%
47.4447 1
< 0.1%
46.9626 1
< 0.1%

NEE_VUT_05_QC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9701484018
Minimum0
Maximum3
Zeros7214
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:30.028100image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6770713537
Coefficient of variation (CV)0.6979049313
Kurtosis1.522573811
Mean0.9701484018
Median Absolute Deviation (MAD)0
Skewness0.7843137154
Sum33994
Variance0.458425618
MonotonicityNot monotonic
2023-08-29T16:16:30.130621image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 23014
65.7%
0 7214
 
20.6%
2 3456
 
9.9%
3 1356
 
3.9%
ValueCountFrequency (%)
0 7214
 
20.6%
1 23014
65.7%
2 3456
 
9.9%
3 1356
 
3.9%
ValueCountFrequency (%)
3 1356
 
3.9%
2 3456
 
9.9%
1 23014
65.7%
0 7214
 
20.6%

NEE_VUT_16_QC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9503710046
Minimum0
Maximum3
Zeros7589
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:30.247326image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6746627423
Coefficient of variation (CV)0.7098940719
Kurtosis1.553008522
Mean0.9503710046
Median Absolute Deviation (MAD)0
Skewness0.7833015754
Sum33301
Variance0.4551698158
MonotonicityNot monotonic
2023-08-29T16:16:30.348461image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 22899
65.4%
0 7589
 
21.7%
2 3254
 
9.3%
3 1298
 
3.7%
ValueCountFrequency (%)
0 7589
 
21.7%
1 22899
65.4%
2 3254
 
9.3%
3 1298
 
3.7%
ValueCountFrequency (%)
3 1298
 
3.7%
2 3254
 
9.3%
1 22899
65.4%
0 7589
 
21.7%

NEE_VUT_25_QC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9314497717
Minimum0
Maximum3
Zeros8022
Zeros (%)22.9%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:30.462348image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6751838542
Coefficient of variation (CV)0.7248741422
Kurtosis1.527034417
Mean0.9314497717
Median Absolute Deviation (MAD)0
Skewness0.7772590632
Sum32638
Variance0.455873237
MonotonicityNot monotonic
2023-08-29T16:16:30.567053image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 22646
64.6%
0 8022
 
22.9%
2 3124
 
8.9%
3 1248
 
3.6%
ValueCountFrequency (%)
0 8022
 
22.9%
1 22646
64.6%
2 3124
 
8.9%
3 1248
 
3.6%
ValueCountFrequency (%)
3 1248
 
3.6%
2 3124
 
8.9%
1 22646
64.6%
0 8022
 
22.9%

NEE_VUT_50_QC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9100742009
Minimum0
Maximum3
Zeros8512
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:30.681788image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6740479957
Coefficient of variation (CV)0.7406516909
Kurtosis1.472160098
Mean0.9100742009
Median Absolute Deviation (MAD)0
Skewness0.7604144967
Sum31889
Variance0.4543407006
MonotonicityNot monotonic
2023-08-29T16:16:30.783826image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 22332
63.7%
0 8512
 
24.3%
2 3031
 
8.7%
3 1165
 
3.3%
ValueCountFrequency (%)
0 8512
 
24.3%
1 22332
63.7%
2 3031
 
8.7%
3 1165
 
3.3%
ValueCountFrequency (%)
3 1165
 
3.3%
2 3031
 
8.7%
1 22332
63.7%
0 8512
 
24.3%

NEE_VUT_75_QC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9406392694
Minimum0
Maximum3
Zeros7694
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:30.898729image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6656736212
Coefficient of variation (CV)0.7076821507
Kurtosis1.536179857
Mean0.9406392694
Median Absolute Deviation (MAD)0
Skewness0.7468136702
Sum32960
Variance0.4431213699
MonotonicityNot monotonic
2023-08-29T16:16:31.002026image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 22903
65.4%
0 7694
 
22.0%
2 3272
 
9.3%
3 1171
 
3.3%
ValueCountFrequency (%)
0 7694
 
22.0%
1 22903
65.4%
2 3272
 
9.3%
3 1171
 
3.3%
ValueCountFrequency (%)
3 1171
 
3.3%
2 3272
 
9.3%
1 22903
65.4%
0 7694
 
22.0%

NEE_VUT_84_QC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9628139269
Minimum0
Maximum3
Zeros7105
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:31.116047image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6612432896
Coefficient of variation (CV)0.6867820158
Kurtosis1.654080778
Mean0.9628139269
Median Absolute Deviation (MAD)0
Skewness0.769389074
Sum33737
Variance0.4372426881
MonotonicityNot monotonic
2023-08-29T16:16:31.218642image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 23364
66.7%
0 7105
 
20.3%
2 3340
 
9.5%
3 1231
 
3.5%
ValueCountFrequency (%)
0 7105
 
20.3%
1 23364
66.7%
2 3340
 
9.5%
3 1231
 
3.5%
ValueCountFrequency (%)
3 1231
 
3.5%
2 3340
 
9.5%
1 23364
66.7%
0 7105
 
20.3%

NEE_VUT_95_QC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9803082192
Minimum0
Maximum3
Zeros6703
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:31.332514image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6593385929
Coefficient of variation (CV)0.6725829489
Kurtosis1.682694984
Mean0.9803082192
Median Absolute Deviation (MAD)0
Skewness0.7766928371
Sum34350
Variance0.4347273801
MonotonicityNot monotonic
2023-08-29T16:16:31.432709image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 23589
67.3%
0 6703
 
19.1%
2 3483
 
9.9%
3 1265
 
3.6%
ValueCountFrequency (%)
0 6703
 
19.1%
1 23589
67.3%
2 3483
 
9.9%
3 1265
 
3.6%
ValueCountFrequency (%)
3 1265
 
3.6%
2 3483
 
9.9%
1 23589
67.3%
0 6703
 
19.1%

RECO_NT_VUT_REF
Real number (ℝ)

Distinct17185
Distinct (%)98.1%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean8.15923531
Minimum1.43816 Ă— 10-6
Maximum23.3156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:31.584114image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.43816 Ă— 10-6
5-th percentile2.6050745
Q15.725125
median7.95702
Q310.486125
95-th percentile14.186305
Maximum23.3156
Range23.31559856
Interquartile range (IQR)4.761

Descriptive statistics

Standard deviation3.534541548
Coefficient of variation (CV)0.4331951971
Kurtosis-0.05831626353
Mean8.15923531
Median Absolute Deviation (MAD)2.3656
Skewness0.2410207172
Sum142949.8026
Variance12.49298395
MonotonicityNot monotonic
2023-08-29T16:16:31.935758image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.0165 3
 
< 0.1%
12.0637 3
 
< 0.1%
13.4262 3
 
< 0.1%
2.77539 2
 
< 0.1%
14.3298 2
 
< 0.1%
10.1805 2
 
< 0.1%
7.99588 2
 
< 0.1%
8.55041 2
 
< 0.1%
12.6294 2
 
< 0.1%
6.75828 2
 
< 0.1%
Other values (17175) 17497
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
1.43816 Ă— 10-61
< 0.1%
1.45812 Ă— 10-61
< 0.1%
1.50703 Ă— 10-61
< 0.1%
1.53136 Ă— 10-61
< 0.1%
1.53647 Ă— 10-61
< 0.1%
ValueCountFrequency (%)
23.3156 1
< 0.1%
23.2703 1
< 0.1%
22.9423 1
< 0.1%
22.5702 1
< 0.1%
22.286 1
< 0.1%

RECO_NT_VUT_USTAR50
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

RECO_NT_VUT_MEAN
Real number (ℝ)

Distinct17201
Distinct (%)98.2%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean8.217212991
Minimum1.39287
Maximum20.8743
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:32.108569image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.39287
5-th percentile3.4030315
Q16.1522225
median7.839365
Q310.134275
95-th percentile13.900435
Maximum20.8743
Range19.48143
Interquartile range (IQR)3.9820525

Descriptive statistics

Standard deviation3.107815727
Coefficient of variation (CV)0.3782080043
Kurtosis0.002810040278
Mean8.217212991
Median Absolute Deviation (MAD)1.935675
Skewness0.4461131321
Sum143965.5716
Variance9.658518592
MonotonicityNot monotonic
2023-08-29T16:16:32.279970image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.9861 3
 
< 0.1%
10.0904 3
 
< 0.1%
12.3424 3
 
< 0.1%
11.2613 3
 
< 0.1%
10.2022 3
 
< 0.1%
5.14362 3
 
< 0.1%
10.8107 3
 
< 0.1%
6.67746 3
 
< 0.1%
10.069 3
 
< 0.1%
10.7357 2
 
< 0.1%
Other values (17191) 17491
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
1.39287 1
< 0.1%
1.39323 1
< 0.1%
1.39512 1
< 0.1%
1.39774 1
< 0.1%
1.40302 1
< 0.1%
ValueCountFrequency (%)
20.8743 1
< 0.1%
20.8639 1
< 0.1%
20.6186 1
< 0.1%
20.298 1
< 0.1%
19.9659 1
< 0.1%

RECO_NT_VUT_SE
Real number (ℝ)

Distinct17049
Distinct (%)97.3%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean0.2324999465
Minimum0.0310263
Maximum0.962673
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:32.468872image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.0310263
5-th percentile0.09180256
Q10.144311
median0.197446
Q30.27370725
95-th percentile0.5290552
Maximum0.962673
Range0.9316467
Interquartile range (IQR)0.12939625

Descriptive statistics

Standard deviation0.1354327863
Coefficient of variation (CV)0.5825067417
Kurtosis3.479480712
Mean0.2324999465
Median Absolute Deviation (MAD)0.0613765
Skewness1.739845711
Sum4073.399063
Variance0.0183420396
MonotonicityNot monotonic
2023-08-29T16:16:32.647250image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.131841 3
 
< 0.1%
0.171102 3
 
< 0.1%
0.243562 3
 
< 0.1%
0.151797 3
 
< 0.1%
0.181406 3
 
< 0.1%
0.142135 3
 
< 0.1%
0.164363 3
 
< 0.1%
0.184364 3
 
< 0.1%
0.110392 3
 
< 0.1%
0.227573 2
 
< 0.1%
Other values (17039) 17491
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
0.0310263 1
< 0.1%
0.031226 1
< 0.1%
0.031309 1
< 0.1%
0.031756 1
< 0.1%
0.0317729 1
< 0.1%
ValueCountFrequency (%)
0.962673 1
< 0.1%
0.954262 1
< 0.1%
0.938283 1
< 0.1%
0.911589 1
< 0.1%
0.910164 1
< 0.1%

RECO_NT_VUT_05
Real number (ℝ)

Distinct17338
Distinct (%)99.0%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean6.05866633
Minimum1.14446 Ă— 10-6
Maximum14.5729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:32.827290image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.14446 Ă— 10-6
5-th percentile0.6153421
Q14.0673475
median5.943065
Q38.278645
95-th percentile11.102025
Maximum14.5729
Range14.57289886
Interquartile range (IQR)4.2112975

Descriptive statistics

Standard deviation3.038908832
Coefficient of variation (CV)0.5015804909
Kurtosis-0.459603339
Mean6.05866633
Median Absolute Deviation (MAD)2.090735
Skewness0.03611685006
Sum106147.8341
Variance9.234966887
MonotonicityNot monotonic
2023-08-29T16:16:32.995864image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.97069 2
 
< 0.1%
6.31772 2
 
< 0.1%
12.3201 2
 
< 0.1%
6.07361 2
 
< 0.1%
2.39821 2
 
< 0.1%
10.4588 2
 
< 0.1%
10.2362 2
 
< 0.1%
5.60387 2
 
< 0.1%
7.48838 2
 
< 0.1%
7.19799 2
 
< 0.1%
Other values (17328) 17500
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
1.14446 Ă— 10-61
< 0.1%
1.43816 Ă— 10-61
< 0.1%
1.45812 Ă— 10-61
< 0.1%
1.50248 Ă— 10-61
< 0.1%
1.51236 Ă— 10-61
< 0.1%
ValueCountFrequency (%)
14.5729 1
< 0.1%
14.3545 1
< 0.1%
14.3532 1
< 0.1%
14.2549 1
< 0.1%
14.2469 1
< 0.1%

RECO_NT_VUT_16
Real number (ℝ)

Distinct17338
Distinct (%)99.0%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean6.05866633
Minimum1.14446 Ă— 10-6
Maximum14.5729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:33.176095image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.14446 Ă— 10-6
5-th percentile0.6153421
Q14.0673475
median5.943065
Q38.278645
95-th percentile11.102025
Maximum14.5729
Range14.57289886
Interquartile range (IQR)4.2112975

Descriptive statistics

Standard deviation3.038908832
Coefficient of variation (CV)0.5015804909
Kurtosis-0.459603339
Mean6.05866633
Median Absolute Deviation (MAD)2.090735
Skewness0.03611685006
Sum106147.8341
Variance9.234966887
MonotonicityNot monotonic
2023-08-29T16:16:33.343798image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.97069 2
 
< 0.1%
6.31772 2
 
< 0.1%
12.3201 2
 
< 0.1%
6.07361 2
 
< 0.1%
2.39821 2
 
< 0.1%
10.4588 2
 
< 0.1%
10.2362 2
 
< 0.1%
5.60387 2
 
< 0.1%
7.48838 2
 
< 0.1%
7.19799 2
 
< 0.1%
Other values (17328) 17500
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
1.14446 Ă— 10-61
< 0.1%
1.43816 Ă— 10-61
< 0.1%
1.45812 Ă— 10-61
< 0.1%
1.50248 Ă— 10-61
< 0.1%
1.51236 Ă— 10-61
< 0.1%
ValueCountFrequency (%)
14.5729 1
< 0.1%
14.3545 1
< 0.1%
14.3532 1
< 0.1%
14.2549 1
< 0.1%
14.2469 1
< 0.1%

RECO_NT_VUT_25
Real number (ℝ)

Distinct17265
Distinct (%)98.5%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean7.01139057
Minimum1.471 Ă— 10-6
Maximum18.4276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:33.524171image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum1.471 Ă— 10-6
5-th percentile1.938096
Q15.0947375
median6.74302
Q39.0270175
95-th percentile12.55509
Maximum18.4276
Range18.42759853
Interquartile range (IQR)3.93228

Descriptive statistics

Standard deviation3.126419391
Coefficient of variation (CV)0.4459057529
Kurtosis0.01040984792
Mean7.01139057
Median Absolute Deviation (MAD)1.96902
Skewness0.2543801826
Sum122839.5628
Variance9.774498207
MonotonicityNot monotonic
2023-08-29T16:16:33.692024image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.4544 3
 
< 0.1%
12.6384 3
 
< 0.1%
10.5566 3
 
< 0.1%
8.38798 2
 
< 0.1%
7.32794 2
 
< 0.1%
5.67982 2
 
< 0.1%
6.00508 2
 
< 0.1%
13.9678 2
 
< 0.1%
5.70468 2
 
< 0.1%
6.27762 2
 
< 0.1%
Other values (17255) 17497
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
1.471 Ă— 10-61
< 0.1%
1.50703 Ă— 10-61
< 0.1%
1.77254 Ă— 10-61
< 0.1%
2.04517 Ă— 10-61
< 0.1%
2.15783 Ă— 10-61
< 0.1%
ValueCountFrequency (%)
18.4276 1
< 0.1%
18.2855 1
< 0.1%
18.2505 1
< 0.1%
18.0439 1
< 0.1%
17.8959 1
< 0.1%

RECO_NT_VUT_50
Real number (ℝ)

Distinct17191
Distinct (%)98.1%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean8.183675659
Minimum2.20207 Ă— 10-6
Maximum23.4564
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:33.875012image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum2.20207 Ă— 10-6
5-th percentile2.997991
Q15.9879225
median7.85345
Q310.263125
95-th percentile14.07974
Maximum23.4564
Range23.4563978
Interquartile range (IQR)4.2752025

Descriptive statistics

Standard deviation3.329361452
Coefficient of variation (CV)0.4068295947
Kurtosis0.2060113074
Mean8.183675659
Median Absolute Deviation (MAD)2.10018
Skewness0.3680007696
Sum143377.9975
Variance11.08464768
MonotonicityNot monotonic
2023-08-29T16:16:34.044301image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.8197 3
 
< 0.1%
10.0935 3
 
< 0.1%
10.1269 3
 
< 0.1%
11.8765 3
 
< 0.1%
10.0402 3
 
< 0.1%
10.2486 3
 
< 0.1%
11.1749 3
 
< 0.1%
10.6387 3
 
< 0.1%
10.1972 3
 
< 0.1%
10.3802 3
 
< 0.1%
Other values (17181) 17490
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
2.20207 Ă— 10-61
< 0.1%
0.0105563 1
< 0.1%
0.0206742 1
< 0.1%
0.030725 1
< 0.1%
0.0406484 1
< 0.1%
ValueCountFrequency (%)
23.4564 1
< 0.1%
23.4108 1
< 0.1%
23.0762 1
< 0.1%
22.6953 1
< 0.1%
22.4016 1
< 0.1%

RECO_NT_VUT_75
Real number (ℝ)

Distinct17132
Distinct (%)97.8%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean8.985881685
Minimum0.502953
Maximum24.0769
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:34.211194image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.502953
5-th percentile3.998971
Q16.8948175
median8.625455
Q310.940225
95-th percentile14.823215
Maximum24.0769
Range23.573947
Interquartile range (IQR)4.0454075

Descriptive statistics

Standard deviation3.256311036
Coefficient of variation (CV)0.3623808047
Kurtosis0.4101699024
Mean8.985881685
Median Absolute Deviation (MAD)1.976965
Skewness0.407349808
Sum157432.6471
Variance10.60356156
MonotonicityNot monotonic
2023-08-29T16:16:34.386604image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.4652 3
 
< 0.1%
10.0041 3
 
< 0.1%
10.4609 3
 
< 0.1%
11.3264 3
 
< 0.1%
10.6022 3
 
< 0.1%
10.2105 3
 
< 0.1%
10.1995 3
 
< 0.1%
11.1859 3
 
< 0.1%
12.561 3
 
< 0.1%
10.0142 3
 
< 0.1%
Other values (17122) 17490
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
0.502953 1
< 0.1%
0.506306 1
< 0.1%
0.533481 1
< 0.1%
0.541483 1
< 0.1%
0.54233 1
< 0.1%
ValueCountFrequency (%)
24.0769 1
< 0.1%
24.0302 1
< 0.1%
23.6864 1
< 0.1%
23.2949 1
< 0.1%
22.9929 1
< 0.1%

RECO_NT_VUT_84
Real number (ℝ)

Distinct16966
Distinct (%)96.8%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean9.449940921
Minimum2.59896
Maximum24.2287
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:34.733476image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum2.59896
5-th percentile4.809657
Q17.2594275
median9.034445
Q311.354825
95-th percentile15.135865
Maximum24.2287
Range21.62974
Interquartile range (IQR)4.0953975

Descriptive statistics

Standard deviation3.155157658
Coefficient of variation (CV)0.3338812046
Kurtosis0.3257190132
Mean9.449940921
Median Absolute Deviation (MAD)1.99783
Skewness0.5757467437
Sum165562.9649
Variance9.95501985
MonotonicityNot monotonic
2023-08-29T16:16:34.895782image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.3775 4
 
< 0.1%
11.5689 4
 
< 0.1%
15.106 3
 
< 0.1%
11.1183 3
 
< 0.1%
8.51576 3
 
< 0.1%
11.3759 3
 
< 0.1%
11.3315 3
 
< 0.1%
10.2848 3
 
< 0.1%
15.5937 3
 
< 0.1%
10.4744 3
 
< 0.1%
Other values (16956) 17488
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
2.59896 1
< 0.1%
2.60908 1
< 0.1%
2.6098 1
< 0.1%
2.61373 1
< 0.1%
2.62156 1
< 0.1%
ValueCountFrequency (%)
24.2287 1
< 0.1%
24.1956 1
< 0.1%
23.8589 1
< 0.1%
23.453 1
< 0.1%
23.0933 1
< 0.1%

RECO_NT_VUT_95
Real number (ℝ)

Distinct16924
Distinct (%)96.6%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean10.48488169
Minimum3.38309
Maximum26.2316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:35.070715image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum3.38309
5-th percentile5.3573025
Q18.0408125
median9.92363
Q312.413925
95-th percentile17.065
Maximum26.2316
Range22.84851
Interquartile range (IQR)4.3731125

Descriptive statistics

Standard deviation3.503942451
Coefficient of variation (CV)0.3341899845
Kurtosis0.7533423456
Mean10.48488169
Median Absolute Deviation (MAD)2.12095
Skewness0.7782513186
Sum183695.1273
Variance12.2776127
MonotonicityNot monotonic
2023-08-29T16:16:35.243951image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.2123 4
 
< 0.1%
7.55267 3
 
< 0.1%
15.6578 3
 
< 0.1%
12.3175 3
 
< 0.1%
10.0337 3
 
< 0.1%
12.1797 3
 
< 0.1%
12.9292 3
 
< 0.1%
10.5984 3
 
< 0.1%
12.1334 3
 
< 0.1%
10.864 3
 
< 0.1%
Other values (16914) 17489
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
3.38309 1
< 0.1%
3.40273 1
< 0.1%
3.40652 1
< 0.1%
3.41331 1
< 0.1%
3.41584 1
< 0.1%
ValueCountFrequency (%)
26.2316 1
< 0.1%
26.2173 1
< 0.1%
25.9226 1
< 0.1%
25.6385 1
< 0.1%
25.6036 1
< 0.1%

GPP_NT_VUT_REF
Real number (ℝ)

Distinct17417
Distinct (%)99.4%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean9.235817532
Minimum-32.884
Maximum66.4125
Zeros0
Zeros (%)0.0%
Negative5414
Negative (%)15.5%
Memory size273.9 KiB
2023-08-29T16:16:35.420110image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-32.884
5-th percentile-3.3627735
Q1-0.40683275
median2.072915
Q320.498875
95-th percentile32.960125
Maximum66.4125
Range99.2965
Interquartile range (IQR)20.90570775

Descriptive statistics

Standard deviation12.95639887
Coefficient of variation (CV)1.402842664
Kurtosis-0.5026836489
Mean9.235817532
Median Absolute Deviation (MAD)4.221335
Skewness0.8212587463
Sum161811.5232
Variance167.8682716
MonotonicityNot monotonic
2023-08-29T16:16:35.583894image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.2742 3
 
< 0.1%
-2.19877 2
 
< 0.1%
29.9191 2
 
< 0.1%
25.4822 2
 
< 0.1%
0.339006 2
 
< 0.1%
-5.32015 2
 
< 0.1%
23.721 2
 
< 0.1%
10.23 2
 
< 0.1%
0.395348 2
 
< 0.1%
30.5071 2
 
< 0.1%
Other values (17407) 17499
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
-32.884 1
< 0.1%
-32.3182 1
< 0.1%
-31.0996 1
< 0.1%
-29.6903 1
< 0.1%
-29.2566 1
< 0.1%
ValueCountFrequency (%)
66.4125 1
< 0.1%
64.298 1
< 0.1%
62.9655 1
< 0.1%
61.5061 1
< 0.1%
55.3841 1
< 0.1%

GPP_NT_VUT_USTAR50
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

GPP_NT_VUT_MEAN
Real number (ℝ)

Distinct17421
Distinct (%)99.4%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean9.236349987
Minimum-31.8201
Maximum66.6517
Zeros0
Zeros (%)0.0%
Negative5630
Negative (%)16.1%
Memory size273.9 KiB
2023-08-29T16:16:35.751995image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-31.8201
5-th percentile-2.774627
Q1-0.42258
median1.964645
Q320.42335
95-th percentile32.43521
Maximum66.6517
Range98.4718
Interquartile range (IQR)20.84593

Descriptive statistics

Standard deviation12.69831088
Coefficient of variation (CV)1.374819154
Kurtosis-0.5627795678
Mean9.236349987
Median Absolute Deviation (MAD)3.86134
Skewness0.8354983232
Sum161820.8518
Variance161.2470992
MonotonicityNot monotonic
2023-08-29T16:16:35.921750image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.3439 3
 
< 0.1%
0.815079 2
 
< 0.1%
22.1467 2
 
< 0.1%
14.9767 2
 
< 0.1%
-1.03766 2
 
< 0.1%
23.5905 2
 
< 0.1%
24.1635 2
 
< 0.1%
27.5271 2
 
< 0.1%
-0.505468 2
 
< 0.1%
-1.07832 2
 
< 0.1%
Other values (17411) 17499
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
-31.8201 1
< 0.1%
-30.6728 1
< 0.1%
-29.6059 1
< 0.1%
-28.9615 1
< 0.1%
-28.4003 1
< 0.1%
ValueCountFrequency (%)
66.6517 1
< 0.1%
61.6087 1
< 0.1%
57.6601 1
< 0.1%
56.7535 1
< 0.1%
54.6397 1
< 0.1%

GPP_NT_VUT_SE
Real number (ℝ)

Distinct17230
Distinct (%)98.3%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean0.2870789231
Minimum0.0107021
Maximum3.99618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:36.101745image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.0107021
5-th percentile0.069961085
Q10.13603575
median0.2147345
Q30.345917
95-th percentile0.7459605
Maximum3.99618
Range3.9854779
Interquartile range (IQR)0.20988125

Descriptive statistics

Standard deviation0.2523464003
Coefficient of variation (CV)0.879014027
Kurtosis21.09342879
Mean0.2870789231
Median Absolute Deviation (MAD)0.0932195
Skewness3.404124211
Sum5029.622733
Variance0.06367870573
MonotonicityNot monotonic
2023-08-29T16:16:36.285507image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.14345 3
 
< 0.1%
0.168212 3
 
< 0.1%
0.110582 3
 
< 0.1%
0.161229 2
 
< 0.1%
0.174933 2
 
< 0.1%
0.181949 2
 
< 0.1%
0.228876 2
 
< 0.1%
0.162797 2
 
< 0.1%
0.14425 2
 
< 0.1%
0.22061 2
 
< 0.1%
Other values (17220) 17497
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
0.0107021 1
< 0.1%
0.0129331 1
< 0.1%
0.0135341 1
< 0.1%
0.0163433 1
< 0.1%
0.0163527 1
< 0.1%
ValueCountFrequency (%)
3.99618 1
< 0.1%
3.79832 1
< 0.1%
3.26768 1
< 0.1%
3.013 1
< 0.1%
2.92613 1
< 0.1%

GPP_NT_VUT_05
Real number (ℝ)

Distinct17375
Distinct (%)99.2%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean6.577362755
Minimum-39.2686
Maximum65.886
Zeros0
Zeros (%)0.0%
Negative8843
Negative (%)25.2%
Memory size273.9 KiB
2023-08-29T16:16:36.473963image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-39.2686
5-th percentile-6.287406
Q1-2.041105
median-0.0551479
Q317.097975
95-th percentile29.61328
Maximum65.886
Range105.1546
Interquartile range (IQR)19.13908

Descriptive statistics

Standard deviation12.5094154
Coefficient of variation (CV)1.901889233
Kurtosis-0.3713471439
Mean6.577362755
Median Absolute Deviation (MAD)3.968285
Skewness0.7732948023
Sum115235.3955
Variance156.4854738
MonotonicityNot monotonic
2023-08-29T16:16:36.651860image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-6.05174 9
 
< 0.1%
-1.29499 3
 
< 0.1%
-13.992 3
 
< 0.1%
26.7868 3
 
< 0.1%
16.4161 3
 
< 0.1%
-6.76764 3
 
< 0.1%
6.0034 3
 
< 0.1%
18.7491 2
 
< 0.1%
19.1432 2
 
< 0.1%
21.6802 2
 
< 0.1%
Other values (17365) 17487
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
-39.2686 1
< 0.1%
-35.6363 1
< 0.1%
-34.4531 1
< 0.1%
-33.5975 1
< 0.1%
-33.4443 1
< 0.1%
ValueCountFrequency (%)
65.886 1
< 0.1%
53.6417 1
< 0.1%
53.219 1
< 0.1%
51.4152 1
< 0.1%
50.9973 1
< 0.1%

GPP_NT_VUT_16
Real number (ℝ)

Distinct17375
Distinct (%)99.2%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean6.577362755
Minimum-39.2686
Maximum65.886
Zeros0
Zeros (%)0.0%
Negative8843
Negative (%)25.2%
Memory size273.9 KiB
2023-08-29T16:16:36.824931image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-39.2686
5-th percentile-6.287406
Q1-2.041105
median-0.0551479
Q317.097975
95-th percentile29.61328
Maximum65.886
Range105.1546
Interquartile range (IQR)19.13908

Descriptive statistics

Standard deviation12.5094154
Coefficient of variation (CV)1.901889233
Kurtosis-0.3713471439
Mean6.577362755
Median Absolute Deviation (MAD)3.968285
Skewness0.7732948023
Sum115235.3955
Variance156.4854738
MonotonicityNot monotonic
2023-08-29T16:16:36.995410image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-6.05174 9
 
< 0.1%
-1.29499 3
 
< 0.1%
-13.992 3
 
< 0.1%
26.7868 3
 
< 0.1%
16.4161 3
 
< 0.1%
-6.76764 3
 
< 0.1%
6.0034 3
 
< 0.1%
18.7491 2
 
< 0.1%
19.1432 2
 
< 0.1%
21.6802 2
 
< 0.1%
Other values (17365) 17487
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
-39.2686 1
< 0.1%
-35.6363 1
< 0.1%
-34.4531 1
< 0.1%
-33.5975 1
< 0.1%
-33.4443 1
< 0.1%
ValueCountFrequency (%)
65.886 1
< 0.1%
53.6417 1
< 0.1%
53.219 1
< 0.1%
51.4152 1
< 0.1%
50.9973 1
< 0.1%

GPP_NT_VUT_25
Real number (ℝ)

Distinct17412
Distinct (%)99.4%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean7.821325535
Minimum-33.4034
Maximum65.8864
Zeros0
Zeros (%)0.0%
Negative7744
Negative (%)22.1%
Memory size273.9 KiB
2023-08-29T16:16:37.167242image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-33.4034
5-th percentile-4.602596
Q1-1.195755
median0.7139075
Q318.833775
95-th percentile30.921425
Maximum65.8864
Range99.2898
Interquartile range (IQR)20.02953

Descriptive statistics

Standard deviation12.59013485
Coefficient of variation (CV)1.609718813
Kurtosis-0.4603374538
Mean7.821325535
Median Absolute Deviation (MAD)3.7867225
Skewness0.829393479
Sum137029.6234
Variance158.5114957
MonotonicityNot monotonic
2023-08-29T16:16:37.334226image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.18849 5
 
< 0.1%
-1.27005 3
 
< 0.1%
28.5989 2
 
< 0.1%
17.7871 2
 
< 0.1%
22.4143 2
 
< 0.1%
21.2797 2
 
< 0.1%
17.9641 2
 
< 0.1%
-1.99963 2
 
< 0.1%
28.8669 2
 
< 0.1%
27.3899 2
 
< 0.1%
Other values (17402) 17496
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
-33.4034 1
< 0.1%
-32.884 1
< 0.1%
-31.5564 1
< 0.1%
-31.2923 1
< 0.1%
-31.0933 1
< 0.1%
ValueCountFrequency (%)
65.8864 1
< 0.1%
59.5837 1
< 0.1%
58.156 1
< 0.1%
53.966 1
< 0.1%
53.5968 1
< 0.1%

GPP_NT_VUT_50
Real number (ℝ)

Distinct17416
Distinct (%)99.4%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean9.190925697
Minimum-32.7715
Maximum66.4122
Zeros0
Zeros (%)0.0%
Negative5561
Negative (%)15.9%
Memory size273.9 KiB
2023-08-29T16:16:37.503052image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-32.7715
5-th percentile-2.928447
Q1-0.3941145
median1.86514
Q320.4477
95-th percentile32.488485
Maximum66.4122
Range99.1837
Interquartile range (IQR)20.8418145

Descriptive statistics

Standard deviation12.79159354
Coefficient of variation (CV)1.39176335
Kurtosis-0.5108871027
Mean9.190925697
Median Absolute Deviation (MAD)3.855145
Skewness0.8326068105
Sum161025.0182
Variance163.6248653
MonotonicityNot monotonic
2023-08-29T16:16:37.854244image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0822 3
 
< 0.1%
17.5704 2
 
< 0.1%
28.4732 2
 
< 0.1%
-0.285126 2
 
< 0.1%
1.01532 2
 
< 0.1%
3.16595 2
 
< 0.1%
29.166 2
 
< 0.1%
21.6202 2
 
< 0.1%
24.3274 2
 
< 0.1%
24.5121 2
 
< 0.1%
Other values (17406) 17499
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
-32.7715 1
< 0.1%
-32.3182 1
< 0.1%
-30.2849 1
< 0.1%
-29.6903 1
< 0.1%
-29.4871 1
< 0.1%
ValueCountFrequency (%)
66.4122 1
< 0.1%
63.5929 1
< 0.1%
61.5061 1
< 0.1%
59.1722 1
< 0.1%
55.049 1
< 0.1%

GPP_NT_VUT_75
Real number (ℝ)

Distinct17401
Distinct (%)99.3%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean10.13388959
Minimum-31.8523
Maximum67.1013
Zeros0
Zeros (%)0.0%
Negative3909
Negative (%)11.2%
Memory size273.9 KiB
2023-08-29T16:16:38.021121image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-31.8523
5-th percentile-1.847793
Q10.13915425
median2.73461
Q321.64475
95-th percentile33.56908
Maximum67.1013
Range98.9536
Interquartile range (IQR)21.50559575

Descriptive statistics

Standard deviation12.91032159
Coefficient of variation (CV)1.27397496
Kurtosis-0.5780020444
Mean10.13388959
Median Absolute Deviation (MAD)3.960515
Skewness0.822006044
Sum177545.7456
Variance166.6764036
MonotonicityNot monotonic
2023-08-29T16:16:38.190534image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.6225 4
 
< 0.1%
31.1634 3
 
< 0.1%
2.37828 2
 
< 0.1%
28.9145 2
 
< 0.1%
4.93931 2
 
< 0.1%
16.6303 2
 
< 0.1%
29.1843 2
 
< 0.1%
1.34826 2
 
< 0.1%
20.1022 2
 
< 0.1%
23.8572 2
 
< 0.1%
Other values (17391) 17497
49.9%
(Missing) 17520
50.0%
ValueCountFrequency (%)
-31.8523 1
< 0.1%
-29.3818 1
< 0.1%
-28.8967 1
< 0.1%
-27.8392 1
< 0.1%
-27.1903 1
< 0.1%
ValueCountFrequency (%)
67.1013 1
< 0.1%
64.298 1
< 0.1%
62.4564 1
< 0.1%
61.5367 1
< 0.1%
55.2784 1
< 0.1%

GPP_NT_VUT_84
Real number (ℝ)

Distinct17362
Distinct (%)99.1%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean10.64594217
Minimum-30.406
Maximum67.3376
Zeros0
Zeros (%)0.0%
Negative3174
Negative (%)9.1%
Memory size273.9 KiB
2023-08-29T16:16:38.356674image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-30.406
5-th percentile-1.2001325
Q10.38400675
median3.234515
Q322.3326
95-th percentile34.038015
Maximum67.3376
Range97.7436
Interquartile range (IQR)21.94859325

Descriptive statistics

Standard deviation12.96055034
Coefficient of variation (CV)1.217416939
Kurtosis-0.61621517
Mean10.64594217
Median Absolute Deviation (MAD)4.0752535
Skewness0.8119236215
Sum186516.9068
Variance167.975865
MonotonicityNot monotonic
2023-08-29T16:16:38.521400image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.813944 32
 
0.1%
7.04274 30
 
0.1%
24.5703 2
 
< 0.1%
28.8936 2
 
< 0.1%
25.6915 2
 
< 0.1%
25.7082 2
 
< 0.1%
41.785 2
 
< 0.1%
31.8764 2
 
< 0.1%
17.5223 2
 
< 0.1%
2.88298 2
 
< 0.1%
Other values (17352) 17442
49.8%
(Missing) 17520
50.0%
ValueCountFrequency (%)
-30.406 1
< 0.1%
-29.3786 1
< 0.1%
-28.8873 1
< 0.1%
-27.5634 1
< 0.1%
-26.9669 1
< 0.1%
ValueCountFrequency (%)
67.3376 1
< 0.1%
64.6632 1
< 0.1%
62.9655 1
< 0.1%
61.5858 1
< 0.1%
55.3841 1
< 0.1%

GPP_NT_VUT_95
Real number (ℝ)

Distinct17274
Distinct (%)98.6%
Missing17520
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean12.04170119
Minimum-29.2566
Maximum68.3869
Zeros0
Zeros (%)0.0%
Negative1885
Negative (%)5.4%
Memory size273.9 KiB
2023-08-29T16:16:38.691783image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum-29.2566
5-th percentile-0.60164805
Q11.011705
median5.07027
Q324.031525
95-th percentile36.04361
Maximum68.3869
Range97.6435
Interquartile range (IQR)23.01982

Descriptive statistics

Standard deviation13.326274
Coefficient of variation (CV)1.106677021
Kurtosis-0.6606296165
Mean12.04170119
Median Absolute Deviation (MAD)5.2735315
Skewness0.7824968728
Sum210970.6049
Variance177.5895788
MonotonicityNot monotonic
2023-08-29T16:16:38.854460image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.04274 30
 
0.1%
-0.813944 24
 
0.1%
-0.582383 18
 
0.1%
3.15519 12
 
< 0.1%
0.763465 11
 
< 0.1%
5.68125 10
 
< 0.1%
3.20744 8
 
< 0.1%
0.137552 7
 
< 0.1%
1.93134 6
 
< 0.1%
1.25059 4
 
< 0.1%
Other values (17264) 17390
49.6%
(Missing) 17520
50.0%
ValueCountFrequency (%)
-29.2566 1
< 0.1%
-28.4405 1
< 0.1%
-27.3723 1
< 0.1%
-25.4375 1
< 0.1%
-23.9236 1
< 0.1%
ValueCountFrequency (%)
68.3869 1
< 0.1%
64.8194 1
< 0.1%
63.4426 1
< 0.1%
61.639 1
< 0.1%
61.4387 1
< 0.1%

RECO_DT_VUT_REF
Real number (ℝ)

Distinct33814
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.832853991
Minimum0.359392
Maximum20.3631
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:39.025100image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.359392
5-th percentile3.322317
Q16.0381025
median7.64749
Q39.5367
95-th percentile12.641345
Maximum20.3631
Range20.003708
Interquartile range (IQR)3.4985975

Descriptive statistics

Standard deviation2.766875008
Coefficient of variation (CV)0.3532397018
Kurtosis0.08934019388
Mean7.832853991
Median Absolute Deviation (MAD)1.73545
Skewness0.2886694885
Sum274463.2039
Variance7.655597311
MonotonicityNot monotonic
2023-08-29T16:16:39.200361image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.2584 3
 
< 0.1%
11.3123 3
 
< 0.1%
12.2282 3
 
< 0.1%
10.428 3
 
< 0.1%
11.2896 3
 
< 0.1%
11.2601 3
 
< 0.1%
10.6315 3
 
< 0.1%
10.0813 3
 
< 0.1%
11.5152 3
 
< 0.1%
11.2119 3
 
< 0.1%
Other values (33804) 35010
99.9%
ValueCountFrequency (%)
0.359392 1
< 0.1%
0.406516 1
< 0.1%
0.407432 1
< 0.1%
0.452253 1
< 0.1%
0.4558 1
< 0.1%
ValueCountFrequency (%)
20.3631 1
< 0.1%
20.1972 1
< 0.1%
20.1553 1
< 0.1%
19.8397 1
< 0.1%
19.7812 1
< 0.1%

RECO_DT_VUT_USTAR50
Real number (ℝ)

Distinct33949
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.815791114
Minimum0.412667
Maximum18.8559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:39.389775image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.412667
5-th percentile3.3373985
Q15.8107925
median7.524065
Q39.537875
95-th percentile13.21504
Maximum18.8559
Range18.443233
Interquartile range (IQR)3.7270825

Descriptive statistics

Standard deviation2.94277681
Coefficient of variation (CV)0.3765168192
Kurtosis0.1752618351
Mean7.815791114
Median Absolute Deviation (MAD)1.85865
Skewness0.4491907165
Sum273865.3206
Variance8.659935354
MonotonicityNot monotonic
2023-08-29T16:16:39.557326image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.2226 4
 
< 0.1%
10.9548 3
 
< 0.1%
11.1468 3
 
< 0.1%
11.2425 3
 
< 0.1%
11.4442 3
 
< 0.1%
5.18276 3
 
< 0.1%
10.3026 3
 
< 0.1%
12.764 3
 
< 0.1%
6.02024 3
 
< 0.1%
13.0363 3
 
< 0.1%
Other values (33939) 35009
99.9%
ValueCountFrequency (%)
0.412667 1
< 0.1%
0.476016 1
< 0.1%
0.493506 1
< 0.1%
0.540781 1
< 0.1%
0.572123 1
< 0.1%
ValueCountFrequency (%)
18.8559 1
< 0.1%
18.7496 1
< 0.1%
18.5396 1
< 0.1%
18.5232 1
< 0.1%
18.1398 1
< 0.1%

RECO_DT_VUT_MEAN
Real number (ℝ)

Distinct33699
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.045798539
Minimum2.50557
Maximum16.5861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:39.736683image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum2.50557
5-th percentile4.753906
Q16.391655
median7.775545
Q39.4511625
95-th percentile12.24071
Maximum16.5861
Range14.08053
Interquartile range (IQR)3.0595075

Descriptive statistics

Standard deviation2.270459372
Coefficient of variation (CV)0.2821919242
Kurtosis0.1503779109
Mean8.045798539
Median Absolute Deviation (MAD)1.508825
Skewness0.5571555236
Sum281924.7808
Variance5.154985758
MonotonicityNot monotonic
2023-08-29T16:16:39.900206image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.4073 4
 
< 0.1%
10.4576 4
 
< 0.1%
10.5139 4
 
< 0.1%
11.0062 3
 
< 0.1%
10.2657 3
 
< 0.1%
10.1804 3
 
< 0.1%
12.1702 3
 
< 0.1%
10.3674 3
 
< 0.1%
9.23176 3
 
< 0.1%
10.1763 3
 
< 0.1%
Other values (33689) 35007
99.9%
ValueCountFrequency (%)
2.50557 1
< 0.1%
2.54492 1
< 0.1%
2.55803 1
< 0.1%
2.57349 1
< 0.1%
2.59926 1
< 0.1%
ValueCountFrequency (%)
16.5861 1
< 0.1%
16.3155 1
< 0.1%
16.2259 1
< 0.1%
16.2087 1
< 0.1%
16.2025 1
< 0.1%

RECO_DT_VUT_SE
Real number (ℝ)

Distinct33597
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3305744007
Minimum0.0602701
Maximum1.10671
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:40.079891image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.0602701
5-th percentile0.1558674
Q10.2410745
median0.3134755
Q30.399601
95-th percentile0.5674016
Maximum1.10671
Range1.0464399
Interquartile range (IQR)0.1585265

Descriptive statistics

Standard deviation0.1309151302
Coefficient of variation (CV)0.3960231946
Kurtosis2.585949968
Mean0.3305744007
Median Absolute Deviation (MAD)0.0782035
Skewness1.134481831
Sum11583.327
Variance0.01713877133
MonotonicityNot monotonic
2023-08-29T16:16:40.248585image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.274627 4
 
< 0.1%
0.25345 3
 
< 0.1%
0.287294 3
 
< 0.1%
0.363524 3
 
< 0.1%
0.323436 3
 
< 0.1%
0.337757 3
 
< 0.1%
0.238788 3
 
< 0.1%
0.284229 3
 
< 0.1%
0.325018 3
 
< 0.1%
0.188889 3
 
< 0.1%
Other values (33587) 35009
99.9%
ValueCountFrequency (%)
0.0602701 1
< 0.1%
0.0603009 1
< 0.1%
0.0603019 1
< 0.1%
0.0603736 1
< 0.1%
0.0604091 1
< 0.1%
ValueCountFrequency (%)
1.10671 1
< 0.1%
1.10043 1
< 0.1%
1.09857 1
< 0.1%
1.09774 1
< 0.1%
1.08913 1
< 0.1%

RECO_DT_VUT_05
Real number (ℝ)

Distinct34159
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.798294278
Minimum0.0632898
Maximum13.7888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:40.416592image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.0632898
5-th percentile1.459763
Q13.175215
median4.621005
Q36.20921
95-th percentile8.9065435
Maximum13.7888
Range13.7255102
Interquartile range (IQR)3.033995

Descriptive statistics

Standard deviation2.249013829
Coefficient of variation (CV)0.4687111083
Kurtosis0.1824216586
Mean4.798294278
Median Absolute Deviation (MAD)1.499595
Skewness0.523892802
Sum168132.2315
Variance5.058063202
MonotonicityNot monotonic
2023-08-29T16:16:40.764559image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.18076 4
 
< 0.1%
3.80228 3
 
< 0.1%
3.16961 3
 
< 0.1%
3.79772 3
 
< 0.1%
4.12059 3
 
< 0.1%
2.1654 3
 
< 0.1%
5.20749 3
 
< 0.1%
3.28624 3
 
< 0.1%
6.62806 3
 
< 0.1%
5.08921 3
 
< 0.1%
Other values (34149) 35009
99.9%
ValueCountFrequency (%)
0.0632898 1
< 0.1%
0.0800047 1
< 0.1%
0.0884136 1
< 0.1%
0.0967844 1
< 0.1%
0.105735 1
< 0.1%
ValueCountFrequency (%)
13.7888 1
< 0.1%
13.7588 1
< 0.1%
13.5489 1
< 0.1%
13.5289 1
< 0.1%
13.4715 1
< 0.1%

RECO_DT_VUT_16
Real number (ℝ)

Distinct34253
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.992345167
Minimum0.359513
Maximum14.9448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:40.948564image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.359513
5-th percentile2.415657
Q14.294605
median5.86921
Q37.405465
95-th percentile10.09971
Maximum14.9448
Range14.585287
Interquartile range (IQR)3.11086

Descriptive statistics

Standard deviation2.316699624
Coefficient of variation (CV)0.386609843
Kurtosis0.1722085229
Mean5.992345167
Median Absolute Deviation (MAD)1.552825
Skewness0.4088607656
Sum209971.7746
Variance5.367097148
MonotonicityNot monotonic
2023-08-29T16:16:41.113208image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.08511 3
 
< 0.1%
7.97051 3
 
< 0.1%
5.29352 3
 
< 0.1%
6.36814 3
 
< 0.1%
3.3209 3
 
< 0.1%
7.50687 3
 
< 0.1%
5.80302 3
 
< 0.1%
7.18123 3
 
< 0.1%
4.60424 3
 
< 0.1%
5.36911 3
 
< 0.1%
Other values (34243) 35010
99.9%
ValueCountFrequency (%)
0.359513 1
< 0.1%
0.365 1
< 0.1%
0.370605 1
< 0.1%
0.379128 1
< 0.1%
0.38149 1
< 0.1%
ValueCountFrequency (%)
14.9448 1
< 0.1%
14.9277 1
< 0.1%
14.876 1
< 0.1%
14.8378 1
< 0.1%
14.7609 1
< 0.1%

RECO_DT_VUT_25
Real number (ℝ)

Distinct34106
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.682844548
Minimum0.534016
Maximum15.2186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:41.292911image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.534016
5-th percentile3.038296
Q14.94652
median6.526655
Q38.184435
95-th percentile11.030905
Maximum15.2186
Range14.684584
Interquartile range (IQR)3.237915

Descriptive statistics

Standard deviation2.40256323
Coefficient of variation (CV)0.359512063
Kurtosis0.09392637396
Mean6.682844548
Median Absolute Deviation (MAD)1.62177
Skewness0.4075802207
Sum234166.873
Variance5.772310076
MonotonicityNot monotonic
2023-08-29T16:16:41.464814image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.56364 3
 
< 0.1%
8.14283 3
 
< 0.1%
10.5914 3
 
< 0.1%
6.37982 3
 
< 0.1%
8.26497 3
 
< 0.1%
6.09396 3
 
< 0.1%
5.02246 3
 
< 0.1%
5.35603 3
 
< 0.1%
7.65294 3
 
< 0.1%
11.048 3
 
< 0.1%
Other values (34096) 35010
99.9%
ValueCountFrequency (%)
0.534016 1
< 0.1%
0.581223 1
< 0.1%
0.583581 1
< 0.1%
0.590742 1
< 0.1%
0.600705 1
< 0.1%
ValueCountFrequency (%)
15.2186 1
< 0.1%
15.189 1
< 0.1%
15.1485 1
< 0.1%
15.146 1
< 0.1%
15.1199 1
< 0.1%

RECO_DT_VUT_50
Real number (ℝ)

Distinct33810
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.883296755
Minimum0.592769
Maximum18.191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:41.649088image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0.592769
5-th percentile3.995688
Q16.1434175
median7.647945
Q39.4675575
95-th percentile12.35223
Maximum18.191
Range17.598231
Interquartile range (IQR)3.32414

Descriptive statistics

Standard deviation2.504090851
Coefficient of variation (CV)0.3176451337
Kurtosis0.006156179232
Mean7.883296755
Median Absolute Deviation (MAD)1.63183
Skewness0.3392335589
Sum276230.7183
Variance6.270470992
MonotonicityNot monotonic
2023-08-29T16:16:41.815758image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.7241 4
 
< 0.1%
11.1458 4
 
< 0.1%
10.3972 3
 
< 0.1%
11.6295 3
 
< 0.1%
10.3986 3
 
< 0.1%
12.7615 3
 
< 0.1%
11.1363 3
 
< 0.1%
11.9815 3
 
< 0.1%
8.52477 3
 
< 0.1%
11.3941 3
 
< 0.1%
Other values (33800) 35008
99.9%
ValueCountFrequency (%)
0.592769 1
< 0.1%
0.613393 1
< 0.1%
0.633455 1
< 0.1%
0.653605 1
< 0.1%
0.669722 1
< 0.1%
ValueCountFrequency (%)
18.191 1
< 0.1%
17.5508 1
< 0.1%
17.2468 1
< 0.1%
17.1557 1
< 0.1%
17.1547 1
< 0.1%

RECO_DT_VUT_75
Real number (ℝ)

Distinct32976
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.141831212
Minimum2.02733
Maximum19.3841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:41.997823image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum2.02733
5-th percentile5.468935
Q17.2762
median8.90799
Q310.761575
95-th percentile13.704365
Maximum19.3841
Range17.35677
Interquartile range (IQR)3.485375

Descriptive statistics

Standard deviation2.536818518
Coefficient of variation (CV)0.2774956635
Kurtosis0.1379519429
Mean9.141831212
Median Absolute Deviation (MAD)1.733465
Skewness0.5060349738
Sum320329.7657
Variance6.435448195
MonotonicityNot monotonic
2023-08-29T16:16:42.164576image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.9574 4
 
< 0.1%
10.1338 4
 
< 0.1%
10.9666 4
 
< 0.1%
10.3703 4
 
< 0.1%
11.7787 4
 
< 0.1%
10.7428 4
 
< 0.1%
11.4864 4
 
< 0.1%
10.172 4
 
< 0.1%
11.2832 4
 
< 0.1%
10.4015 3
 
< 0.1%
Other values (32966) 35001
99.9%
ValueCountFrequency (%)
2.02733 1
< 0.1%
2.06667 1
< 0.1%
2.08487 1
< 0.1%
2.09499 1
< 0.1%
2.12253 1
< 0.1%
ValueCountFrequency (%)
19.3841 1
< 0.1%
19.3562 1
< 0.1%
19.2344 1
< 0.1%
19.2003 1
< 0.1%
19.1862 1
< 0.1%

RECO_DT_VUT_84
Real number (ℝ)

Distinct32282
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.967529342
Minimum4.1387
Maximum22.0256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:42.346721image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum4.1387
5-th percentile6.156467
Q18.019905
median9.743665
Q311.58025
95-th percentile14.83076
Maximum22.0256
Range17.8869
Interquartile range (IQR)3.560345

Descriptive statistics

Standard deviation2.644137635
Coefficient of variation (CV)0.2652751293
Kurtosis0.3292207467
Mean9.967529342
Median Absolute Deviation (MAD)1.768735
Skewness0.581006775
Sum349262.2281
Variance6.991463832
MonotonicityNot monotonic
2023-08-29T16:16:42.521323image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.5952 5
 
< 0.1%
10.6946 5
 
< 0.1%
10.5716 5
 
< 0.1%
10.4761 5
 
< 0.1%
10.1695 4
 
< 0.1%
10.1491 4
 
< 0.1%
10.5048 4
 
< 0.1%
10.0995 4
 
< 0.1%
10.2376 4
 
< 0.1%
10.2055 4
 
< 0.1%
Other values (32272) 34996
99.9%
ValueCountFrequency (%)
4.1387 1
< 0.1%
4.16524 1
< 0.1%
4.26211 1
< 0.1%
4.27886 1
< 0.1%
4.29154 1
< 0.1%
ValueCountFrequency (%)
22.0256 1
< 0.1%
21.9977 1
< 0.1%
21.9018 1
< 0.1%
21.8972 1
< 0.1%
21.8798 1
< 0.1%

RECO_DT_VUT_95
Real number (ℝ)

Distinct31266
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.23890887
Minimum4.80444
Maximum30.0014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:42.704155image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum4.80444
5-th percentile7.190548
Q19.1012125
median10.88325
Q312.92005
95-th percentile16.737805
Maximum30.0014
Range25.19696
Interquartile range (IQR)3.8188375

Descriptive statistics

Standard deviation2.926044986
Coefficient of variation (CV)0.2603495606
Kurtosis1.328164395
Mean11.23890887
Median Absolute Deviation (MAD)1.89375
Skewness0.8558816353
Sum393811.3668
Variance8.561739262
MonotonicityNot monotonic
2023-08-29T16:16:42.883917image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.9017 5
 
< 0.1%
11.1223 5
 
< 0.1%
10.9768 4
 
< 0.1%
12.8742 4
 
< 0.1%
11.363 4
 
< 0.1%
10.3679 4
 
< 0.1%
12.0421 4
 
< 0.1%
11.4129 4
 
< 0.1%
13.0228 4
 
< 0.1%
12.0097 4
 
< 0.1%
Other values (31256) 34998
99.9%
ValueCountFrequency (%)
4.80444 1
< 0.1%
4.81015 1
< 0.1%
4.81124 1
< 0.1%
4.82227 1
< 0.1%
4.8325 1
< 0.1%
ValueCountFrequency (%)
30.0014 1
< 0.1%
29.6481 1
< 0.1%
29.5946 1
< 0.1%
29.432 1
< 0.1%
28.4701 1
< 0.1%

GPP_DT_VUT_REF
Real number (ℝ)

Distinct32953
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.903140793
Minimum0
Maximum57.2842
Zeros669
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:43.061231image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00116632
Q10.0079542375
median0.431421
Q317.99995
95-th percentile31.83526
Maximum57.2842
Range57.2842
Interquartile range (IQR)17.99199576

Descriptive statistics

Standard deviation11.65761539
Coefficient of variation (CV)1.309382347
Kurtosis-0.2168485711
Mean8.903140793
Median Absolute Deviation (MAD)0.431421
Skewness1.023467463
Sum311966.0534
Variance135.8999965
MonotonicityNot monotonic
2023-08-29T16:16:43.235273image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 669
 
1.9%
0.00288494 13
 
< 0.1%
0.00133089 11
 
< 0.1%
0.00269263 11
 
< 0.1%
0.000221818 10
 
< 0.1%
0.00140152 10
 
< 0.1%
0.000332727 10
 
< 0.1%
0.00284997 9
 
< 0.1%
0.00302638 9
 
< 0.1%
0.00198307 9
 
< 0.1%
Other values (32943) 34279
97.8%
ValueCountFrequency (%)
0 669
1.9%
7.54515 Ă— 10-111
 
< 0.1%
1.89887 Ă— 10-101
 
< 0.1%
3.52168 Ă— 10-101
 
< 0.1%
3.07039 Ă— 10-91
 
< 0.1%
ValueCountFrequency (%)
57.2842 1
< 0.1%
53.9617 1
< 0.1%
53.0883 1
< 0.1%
52.5048 1
< 0.1%
52.4916 1
< 0.1%

GPP_DT_VUT_USTAR50
Real number (ℝ)

Distinct32922
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.920276564
Minimum0
Maximum55.9103
Zeros669
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:43.413203image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0011827685
Q10.0078106025
median0.4307425
Q318.102925
95-th percentile31.866315
Maximum55.9103
Range55.9103
Interquartile range (IQR)18.0951144

Descriptive statistics

Standard deviation11.68259
Coefficient of variation (CV)1.309666793
Kurtosis-0.2344994936
Mean8.920276564
Median Absolute Deviation (MAD)0.4307425
Skewness1.020698691
Sum312566.4908
Variance136.4829091
MonotonicityNot monotonic
2023-08-29T16:16:43.576115image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 669
 
1.9%
0.000219574 13
 
< 0.1%
0.00175655 10
 
< 0.1%
0.00131742 10
 
< 0.1%
0.0100067 9
 
< 0.1%
0.0029007 9
 
< 0.1%
0.00190906 9
 
< 0.1%
0.000439147 9
 
< 0.1%
0.00120764 9
 
< 0.1%
0.00234745 8
 
< 0.1%
Other values (32912) 34285
97.8%
ValueCountFrequency (%)
0 669
1.9%
7.02264 Ă— 10-111
 
< 0.1%
1.77172 Ă— 10-101
 
< 0.1%
3.29124 Ă— 10-101
 
< 0.1%
2.88603 Ă— 10-91
 
< 0.1%
ValueCountFrequency (%)
55.9103 1
< 0.1%
53.5238 1
< 0.1%
52.1939 1
< 0.1%
50.2295 1
< 0.1%
49.576 1
< 0.1%

GPP_DT_VUT_MEAN
Real number (ℝ)

Distinct33756
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.961467639
Minimum0
Maximum54.2591
Zeros669
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:43.945173image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0013501445
Q10.00825143
median0.474823
Q318.4405
95-th percentile31.20506
Maximum54.2591
Range54.2591
Interquartile range (IQR)18.43224857

Descriptive statistics

Standard deviation11.54409855
Coefficient of variation (CV)1.288192851
Kurtosis-0.4199928334
Mean8.961467639
Median Absolute Deviation (MAD)0.474823
Skewness0.9555509928
Sum314009.8261
Variance133.2662113
MonotonicityNot monotonic
2023-08-29T16:16:44.129083image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 669
 
1.9%
0.00178021 8
 
< 0.1%
0.0157477 4
 
< 0.1%
0.00844665 4
 
< 0.1%
0.00163186 4
 
< 0.1%
0.00754817 4
 
< 0.1%
0.00772787 4
 
< 0.1%
0.00515372 4
 
< 0.1%
0.0163522 4
 
< 0.1%
0.014915 4
 
< 0.1%
Other values (33746) 34331
98.0%
ValueCountFrequency (%)
0 669
1.9%
9.70908 Ă— 10-51
 
< 0.1%
9.71388 Ă— 10-51
 
< 0.1%
9.71868 Ă— 10-51
 
< 0.1%
9.72348 Ă— 10-51
 
< 0.1%
ValueCountFrequency (%)
54.2591 1
< 0.1%
51.5923 1
< 0.1%
50.7431 1
< 0.1%
50.3891 1
< 0.1%
49.2096 1
< 0.1%

GPP_DT_VUT_SE
Real number (ℝ)

Distinct34004
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2138864436
Minimum0
Maximum2.96238
Zeros669
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:44.311973image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.687123 Ă— 10-5
Q10.0002887465
median0.0151308
Q30.36626025
95-th percentile0.82498565
Maximum2.96238
Range2.96238
Interquartile range (IQR)0.3659715035

Descriptive statistics

Standard deviation0.3120498894
Coefficient of variation (CV)1.458951227
Kurtosis6.69240632
Mean0.2138864436
Median Absolute Deviation (MAD)0.0151308
Skewness2.123759084
Sum7494.580985
Variance0.09737513349
MonotonicityNot monotonic
2023-08-29T16:16:44.480639image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 669
 
1.9%
6.4163 Ă— 10-58
 
< 0.1%
0.000389375 4
 
< 0.1%
0.000380218 4
 
< 0.1%
0.000214924 4
 
< 0.1%
0.00019244 4
 
< 0.1%
0.000215344 4
 
< 0.1%
5.88164 Ă— 10-54
 
< 0.1%
0.000416848 4
 
< 0.1%
0.000197021 4
 
< 0.1%
Other values (33994) 34331
98.0%
ValueCountFrequency (%)
0 669
1.9%
3.80402 Ă— 10-61
 
< 0.1%
3.80618 Ă— 10-61
 
< 0.1%
3.80834 Ă— 10-61
 
< 0.1%
3.8105 Ă— 10-61
 
< 0.1%
ValueCountFrequency (%)
2.96238 1
< 0.1%
2.95294 1
< 0.1%
2.81631 1
< 0.1%
2.73516 1
< 0.1%
2.63846 1
< 0.1%

GPP_DT_VUT_05
Real number (ℝ)

Distinct32530
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.886189354
Minimum0
Maximum50.6794
Zeros669
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:44.660844image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00073329185
Q10.0047332125
median0.246422
Q313.243225
95-th percentile26.46474
Maximum50.6794
Range50.6794
Interquartile range (IQR)13.23849179

Descriptive statistics

Standard deviation9.521107737
Coefficient of variation (CV)1.382638096
Kurtosis0.3453512828
Mean6.886189354
Median Absolute Deviation (MAD)0.246422
Skewness1.213986001
Sum241292.075
Variance90.65149254
MonotonicityNot monotonic
2023-08-29T16:16:44.844094image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 669
 
1.9%
0.000334502 13
 
< 0.1%
0.00191501 11
 
< 0.1%
0.00103999 9
 
< 0.1%
0.00132368 9
 
< 0.1%
0.00115059 9
 
< 0.1%
0.00093999 9
 
< 0.1%
0.000382287 9
 
< 0.1%
0.00144041 8
 
< 0.1%
0.00176489 8
 
< 0.1%
Other values (32520) 34286
97.8%
ValueCountFrequency (%)
0 669
1.9%
3.34731 Ă— 10-111
 
< 0.1%
8.6713 Ă— 10-111
 
< 0.1%
1.63962 Ă— 10-101
 
< 0.1%
1.52987 Ă— 10-91
 
< 0.1%
ValueCountFrequency (%)
50.6794 1
< 0.1%
47.2079 1
< 0.1%
45.3784 1
< 0.1%
44.6643 1
< 0.1%
43.8265 1
< 0.1%

GPP_DT_VUT_16
Real number (ℝ)

Distinct32720
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.779835137
Minimum0
Maximum52.0073
Zeros669
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:45.019757image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0009273387
Q10.0061336575
median0.3374115
Q315.4144
95-th percentile28.709335
Maximum52.0073
Range52.0073
Interquartile range (IQR)15.40826634

Descriptive statistics

Standard deviation10.4134751
Coefficient of variation (CV)1.338521308
Kurtosis-0.02531538372
Mean7.779835137
Median Absolute Deviation (MAD)0.3374115
Skewness1.09655528
Sum272605.4232
Variance108.4404637
MonotonicityNot monotonic
2023-08-29T16:16:45.199536image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 669
 
1.9%
0.00166962 21
 
0.1%
0.00179804 21
 
0.1%
0.00192647 16
 
< 0.1%
0.00154119 15
 
< 0.1%
0.00206589 10
 
< 0.1%
0.0020549 10
 
< 0.1%
0.00142549 10
 
< 0.1%
0.00120618 10
 
< 0.1%
0.0013808 9
 
< 0.1%
Other values (32710) 34249
97.7%
ValueCountFrequency (%)
0 669
1.9%
3.73368 Ă— 10-111
 
< 0.1%
9.62868 Ă— 10-111
 
< 0.1%
1.81516 Ă— 10-101
 
< 0.1%
1.67584 Ă— 10-91
 
< 0.1%
ValueCountFrequency (%)
52.0073 1
< 0.1%
48.4573 1
< 0.1%
47.6671 1
< 0.1%
47.0375 1
< 0.1%
46.4031 1
< 0.1%

GPP_DT_VUT_25
Real number (ℝ)

Distinct32849
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.210027565
Minimum0
Maximum53.3791
Zeros669
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:45.375208image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0010205365
Q10.00690962
median0.373572
Q316.4837
95-th percentile29.67966
Maximum53.3791
Range53.3791
Interquartile range (IQR)16.47679038

Descriptive statistics

Standard deviation10.836331
Coefficient of variation (CV)1.319889722
Kurtosis-0.1696362188
Mean8.210027565
Median Absolute Deviation (MAD)0.373572
Skewness1.046567841
Sum287679.3659
Variance117.4260695
MonotonicityNot monotonic
2023-08-29T16:16:45.554336image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 669
 
1.9%
0.00175444 12
 
< 0.1%
0.00504123 11
 
< 0.1%
0.00191582 10
 
< 0.1%
0.0111105 10
 
< 0.1%
0.0112134 9
 
< 0.1%
0.00483548 9
 
< 0.1%
0.0103905 9
 
< 0.1%
0.0105962 9
 
< 0.1%
0.0104934 9
 
< 0.1%
Other values (32839) 34283
97.8%
ValueCountFrequency (%)
0 669
1.9%
4.52829 Ă— 10-111
 
< 0.1%
1.16101 Ă— 10-101
 
< 0.1%
2.18016 Ă— 10-101
 
< 0.1%
1.9855 Ă— 10-91
 
< 0.1%
ValueCountFrequency (%)
53.3791 1
< 0.1%
49.2468 1
< 0.1%
48.7227 1
< 0.1%
47.9441 1
< 0.1%
47.5649 1
< 0.1%

GPP_DT_VUT_50
Real number (ℝ)

Distinct33040
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.894629572
Minimum0
Maximum54.0408
Zeros669
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:45.730520image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0011810305
Q10.0078429525
median0.4281085
Q318.23775
95-th percentile31.543805
Maximum54.0408
Range54.0408
Interquartile range (IQR)18.22990705

Descriptive statistics

Standard deviation11.59232773
Coefficient of variation (CV)1.303295166
Kurtosis-0.3168325822
Mean8.894629572
Median Absolute Deviation (MAD)0.4281085
Skewness0.9952352637
Sum311667.8202
Variance134.3820622
MonotonicityNot monotonic
2023-08-29T16:16:45.908938image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 669
 
1.9%
0.00234947 10
 
< 0.1%
0.0022203 9
 
< 0.1%
0.00167124 8
 
< 0.1%
0.000854376 8
 
< 0.1%
0.00240551 8
 
< 0.1%
0.00281604 8
 
< 0.1%
0.00949408 8
 
< 0.1%
0.0005027 7
 
< 0.1%
0.00185519 7
 
< 0.1%
Other values (33030) 34298
97.9%
ValueCountFrequency (%)
0 669
1.9%
7.59905 Ă— 10-111
 
< 0.1%
1.91197 Ă— 10-101
 
< 0.1%
3.54539 Ă— 10-101
 
< 0.1%
3.0893 Ă— 10-91
 
< 0.1%
ValueCountFrequency (%)
54.0408 1
< 0.1%
53.4847 1
< 0.1%
52.1939 1
< 0.1%
51.516 1
< 0.1%
51.3824 1
< 0.1%

GPP_DT_VUT_75
Real number (ℝ)

Distinct33122
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.667179706
Minimum0
Maximum55.7743
Zeros669
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:46.083395image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0015623365
Q10.00906979
median0.5212535
Q320.1095
95-th percentile33.26172
Maximum55.7743
Range55.7743
Interquartile range (IQR)20.10043021

Descriptive statistics

Standard deviation12.35886895
Coefficient of variation (CV)1.278435834
Kurtosis-0.508074059
Mean9.667179706
Median Absolute Deviation (MAD)0.5212535
Skewness0.923579717
Sum338737.9769
Variance152.7416416
MonotonicityNot monotonic
2023-08-29T16:16:46.245912image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 669
 
1.9%
0.00185519 13
 
< 0.1%
0.00156322 13
 
< 0.1%
0.00287167 12
 
< 0.1%
0.00143296 12
 
< 0.1%
0.000570556 9
 
< 0.1%
0.00308279 8
 
< 0.1%
0.00248491 8
 
< 0.1%
0.0017006 8
 
< 0.1%
0.000427918 8
 
< 0.1%
Other values (33112) 34280
97.8%
ValueCountFrequency (%)
0 669
1.9%
0.000112392 1
 
< 0.1%
0.000112402 1
 
< 0.1%
0.000112412 1
 
< 0.1%
0.000112422 1
 
< 0.1%
ValueCountFrequency (%)
55.7743 1
< 0.1%
54.0986 1
< 0.1%
52.9446 1
< 0.1%
52.5985 1
< 0.1%
52.1963 1
< 0.1%

GPP_DT_VUT_84
Real number (ℝ)

Distinct32883
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.12378823
Minimum0
Maximum63.161
Zeros669
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:46.422155image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00175043
Q10.00997752
median0.574141
Q321.224125
95-th percentile34.434245
Maximum63.161
Range63.161
Interquartile range (IQR)21.21414748

Descriptive statistics

Standard deviation12.84114849
Coefficient of variation (CV)1.268413384
Kurtosis-0.5804391788
Mean10.12378823
Median Absolute Deviation (MAD)0.574141
Skewness0.8941403685
Sum354737.5395
Variance164.8950945
MonotonicityNot monotonic
2023-08-29T16:16:46.778280image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 669
 
1.9%
0.0015179 30
 
0.1%
0.00165589 21
 
0.1%
0.00179387 15
 
< 0.1%
0.00193186 13
 
< 0.1%
0.00269263 11
 
< 0.1%
0.00172077 11
 
< 0.1%
0.00159363 10
 
< 0.1%
0.000413984 9
 
< 0.1%
0.00238045 9
 
< 0.1%
Other values (32873) 34242
97.7%
ValueCountFrequency (%)
0 669
1.9%
0.000122923 1
 
< 0.1%
0.000122938 1
 
< 0.1%
0.00012296 1
 
< 0.1%
0.000122968 1
 
< 0.1%
ValueCountFrequency (%)
63.161 1
< 0.1%
61.7329 1
< 0.1%
60.3043 1
< 0.1%
57.5644 1
< 0.1%
55.9103 1
< 0.1%

GPP_DT_VUT_95
Real number (ℝ)

Distinct32530
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.84062379
Minimum0
Maximum65.3708
Zeros669
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size273.9 KiB
2023-08-29T16:16:46.961110image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0020185595
Q10.011381875
median0.655221
Q322.91905
95-th percentile36.178865
Maximum65.3708
Range65.3708
Interquartile range (IQR)22.90766813

Descriptive statistics

Standard deviation13.60980622
Coefficient of variation (CV)1.255444934
Kurtosis-0.6827937774
Mean10.84062379
Median Absolute Deviation (MAD)0.655221
Skewness0.8549204414
Sum379855.4575
Variance185.2268252
MonotonicityNot monotonic
2023-08-29T16:16:47.128122image/svg+xmlMatplotlib v3.6.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 669
 
1.9%
0.00203883 21
 
0.1%
0.00183495 20
 
0.1%
0.00199734 15
 
< 0.1%
0.00183089 15
 
< 0.1%
0.00213075 13
 
< 0.1%
0.00244658 13
 
< 0.1%
0.0018309 13
 
< 0.1%
0.000415514 13
 
< 0.1%
0.00200979 12
 
< 0.1%
Other values (32520) 34236
97.7%
ValueCountFrequency (%)
0 669
1.9%
0.000145432 1
 
< 0.1%
0.000145449 1
 
< 0.1%
0.000145466 1
 
< 0.1%
0.000145483 1
 
< 0.1%
ValueCountFrequency (%)
65.3708 1
< 0.1%
63.8296 1
< 0.1%
63.3516 1
< 0.1%
62.8899 1
< 0.1%
60.6765 1
< 0.1%

RECO_SR
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB

RECO_SR_N
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35040
Missing (%)100.0%
Memory size273.9 KiB